Research Topics
Species | Yudi PawitanSummaryAffiliation: Karolinska Institutet Country: Sweden Publications
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Detail Information
Publications
Detecting differential expression in microarray data: comparison of optimal proceduresElena Perelman
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
BMC Bioinformatics 8:28. 2007..The relationship and relative performance of these methods in two-sample comparisons is currently unknown...
Genetic and shared environmental factors do not confound the association between birth weight and hypertension: a study among Swedish twinsNiklas Bergvall
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, PO Box 281, SE 171 77 Stockholm, Sweden
Circulation 115:2931-8. 2007..Studies have found associations between low birth weight and increased risks of cardiovascular diseases in adulthood. However, these associations could be due to confounding by genetic or socioeconomic factors...- Covariance component models for multivariate binary traits in family data analysisBenjamin H Yip
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobelvgen 12, Stockholm, Sweden
Stat Med 27:1086-105. 2008..We motivate our problem with real questions from psychiatric epidemiology and demonstrate how different substantive issues of comorbidity between two diseases can be put into the analytical framework... 
Unequal group variances in microarray data analysesMeaza Demissie
Department of Statistics, University of Orebro, Sweden
Bioinformatics 24:1168-74. 2008..The problem arises in the small-sample setting, where the approximately valid Welch test lacks sensitivity, while the more sensitive moderated t-test assumes equal variance...- Matched ascertainment of informative families for complex genetic modellingBenjamin H Yip
Department of Psychiatry, University of Hong Kong, Hong Kong, China
Behav Genet 40:404-14. 2010..The ascertainment-adjusted analysis, which we implement using a pseudo-likelihood approach, is shown to be efficient relative to the analysis of the whole cohort and robust to mis-specification of the random effect distribution... - Molecular sampling of prostate cancer: a dilemma for predicting disease progressionAndrea Sboner
Department of Pathology and Laboratory Medicine, Weill Cornell Medical Center, New York, NY, USA
BMC Med Genomics 3:8. 2010..Hence, we sought to develop a molecular panel for prostate cancer progression by reasoning that molecular profiles might further improve current clinical models... - Identification of recurrent regions of Copy-Number Variants across multiple individualsTeo Shu Mei
Department of Epidemiology and Public Health, National University of Singapore, 16 Medical Drive, Singapore
BMC Bioinformatics 11:147. 2010..General methodologies for identifying these recurrent regions, especially those directed at SNP arrays, are still needed... - Correlating gene and protein expression data using Correlated Factor AnalysisChuen Seng Tan
Lewis Sigler Institute, Princeton University, New Jersey, USA
BMC Bioinformatics 10:272. 2009..The Generalized Singular Value Decomposition (gSVD) is another method which takes into account all available transcriptomic and proteomic data. Comparison is made between CFA and gSVD... - How many genetic variants remain to be discovered?Yudi Pawitan
Department of Medical Epidemiology, Karolinska Institutet, Stockholm, Sweden
PLoS ONE 4:e7969. 2009..Under rare-variant with medium- to high-penetrance models (odds-ratios between 1.6 and 4.0), studies comparable in size to many existing studies are adequate provided the genotyping technology can interrogate more and rarer variants... - Estimation of false discovery proportion under general dependenceYudi Pawitan
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Bioinformatics 22:3025-31. 2006.... - The association between low birth weight and type 2 diabetes: contribution of genetic factorsStefan Johansson
Departments of Medical Epidemiology, and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Epidemiology 19:659-65. 2008..Poor fetal nutrition has been suggested to explain this association. Our objective was to determine whether genetic factors contribute to the association between low birth weight and subsequent risk of type 2 diabetes... - Maternal effects for preterm birth: a genetic epidemiologic study of 630,000 familiesAnna C Svensson
Division of Public Health Epidemiology, Department of Public Health Sciences, Karolinska Institutet, Norrbacka, Fifth Floor, SE 171 76 Stockholm, Sweden
Am J Epidemiol 170:1365-72. 2009..The increased odds ratio between offspring of sisters was independent of maternal risk factors for preterm birth, suggesting that the relative importance of maternal effects is not explained by these well-known risk factors... - Importance of familial factors in associations between offspring birth weight and parental risk of type-2 diabetesNiklas Bergvall
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Int J Epidemiol 37:185-92. 2008..It is hypothesized that associations found between birth weight and subsequent risk of type-2 diabetes are due to inherited genes affecting both fetal growth and metabolism of insulin... - Multidimensional local false discovery rate for microarray studiesAlexander Ploner
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
Bioinformatics 22:556-65. 2006..It is desirable to have an fdr-controlling procedure that automatically accounts for gene variability... - Advancing paternal age and offspring violent offending: a sibling-comparison studyRalf Kuja-Halkola
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, P O Box 281, Stockholm 171 77, Sweden
Dev Psychopathol 24:739-53. 2012..Life-course persistent criminality has been proposed to have a partly biological etiology; our results agree with a stronger biological effect (i.e., de novo mutations) on persistent violent offending... - Genomic copy number variations in three Southeast Asian populationsChee Seng Ku
Centre for Molecular Epidemiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
Hum Mutat 31:851-7. 2010..Tens of loci show population differentiation and overlap with genes previously known to be associated with genetic risk of diseases. One of these loci is the CYP2A6 deletion, previously linked to reduced susceptibility to lung cancer... - Copy number polymorphisms in new HapMap III and Singapore populationsChee Seng Ku
Centre for Molecular Epidemiology, Department of Epidemiology and Public Health MD3, Yong Loo Lin School of Medicine, National University of Singapore, 16 Medical Drive, Singapore
J Hum Genet 56:552-60. 2011..Additionally, we also found 5014 novel copy number loci that have not been reported previously by McCarroll et al. (2008) in the 10 populations... - Tobacco use, body mass index, and the risk of leukemia and multiple myeloma: a nationwide cohort study in SwedenPia Fernberg
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Cancer Res 67:5983-6. 2007..Results on snuff use as well as BMI showed no association. This study confirms the role of smoking as a risk factor for AML and gives no support to the hypothesis of a role of snuff use or BMI level on the risk of leukemia or MM... - Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based studyPaul Lichtenstein
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Lancet 373:234-9. 2009..We aimed to assess genetic and environmental contributions to liability for schizophrenia, bipolar disorder, and their comorbidity... - Gene expression in 16q is associated with survival and differs between Sørlie breast cancer subtypesKristian Wennmalm
Department of Oncology and Pathology, Cancer Center Karolinska, Radiumhemmet, Karolinska Institutet and University Hospital, Stockholm, Sweden
Genes Chromosomes Cancer 46:87-97. 2007..This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat... - Strategies and issues in the detection of pathway enrichment in genome-wide association studiesMun Gwan Hong
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Hum Genet 126:289-301. 2009..This has allowed us to identify at least one replicable case of pathway enrichment but also to highlight functional gene clustering as a potentially serious problem that may lead to spurious pathway findings if not corrected... - Hormone-replacement therapy influences gene expression profiles and is associated with breast-cancer prognosis: a cohort studyPer Hall
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
BMC Med 4:16. 2006..Postmenopausal hormone-replacement therapy (HRT) increases breast-cancer risk. The influence of HRT on the biology of the primary tumor, however, is not well understood... - Etiology of familial aggregation in melanoma and squamous cell carcinoma of the skinLinda S Lindström
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, P O Box 281, Stockholm 17177, Sweden
Cancer Epidemiol Biomarkers Prev 16:1639-43. 2007..Because the malignancies are dependent on UV radiation, we did separate analyses for sun-covered and sun-exposed sites... - Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemiaJenny Forshed
Clinical Proteomics, Karolinska Biomics Center, Karolinska University Hospital, Stockholm, Sweden
J Proteome Res 7:2332-41. 2008..The framework of this methodology should be seen as general and could be used with other one-dimensional spectral omics data than SELDI MS including an adequate number of samples... - Bias in the estimation of false discovery rate in microarray studiesYudi Pawitan
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Bioinformatics 21:3865-72. 2005..In most microarray studies, many genes have small effects not easily separable from non-DE genes. As a result, current methods often overestimate pi(0) and FDR, leading to unnecessary loss of power in the overall analysis... - False discovery rate, sensitivity and sample size for microarray studiesYudi Pawitan
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet 17177 Stockholm, Sweden
Bioinformatics 21:3017-24. 2005..Under certain assumptions, the FDR and FNR curves coincide, thus simplifying the choice of sample size for controlling the FDR and FNR jointly... - Multi-platform segmentation for joint detection of copy number variantsShu Mei Teo
Centre for Molecular Epidemiology, Department of Epidemiology and Public Health, National University of Singapore, Singapore
Bioinformatics 27:1555-61. 2011..Currently, there is still a relative lack of procedures for combining information from different platforms... - Heritability, assortative mating and gender differences in violent crime: results from a total population sample using twin, adoption, and sibling modelsThomas Frisell
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, PO Box 281, 171 77, Stockholm, Sweden
Behav Genet 42:3-18. 2012..4), appeared to result from both phenotypic assortment and social homogamy, but had only minor effect on variance components. Finally, we found significant gender differences in the etiology of violent crime... - Incidence, mortality and survival patterns of prostate cancer among residents in Singapore from 1968 to 2002Sin Eng Chia
Centre for Molecular Epidemiology, National University of Singapore, Singapore
BMC Cancer 8:368. 2008..From 1968 to 2002, Singapore experienced an almost four-fold increase in prostate cancer incidence. This paper examines the incidence, mortality and survival patterns for prostate cancer among all residents in Singapore from 1968 to 2002... - Normalization of oligonucleotide arrays based on the least-variant set of genesStefano Calza
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
BMC Bioinformatics 9:140. 2008..This means it is still important to develop a normalization method that is robust against violation of the standard assumptions.. - Annotated regions of significance of SELDI-TOF-MS spectra for detecting protein biomarkersChuen Seng Tan
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Proteomics 6:6124-33. 2006..In conclusion, we find that ARS alleviates the main problems in the preprocessing of SELDI-TOF spectra. The R-package ProSpect that implements ARS is freely available for academic use at http://www.meb.ki.se/ yudpaw... - Familial aggregation of small-for-gestational-age births: the importance of fetal genetic effectsAnna C Svensson
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Am J Obstet Gynecol 194:475-9. 2006..This study was undertaken to disentangle the maternal genetic, fetal genetic, and environmental effects for the risk of having small-for-gestational-age (SGA) offspring... - Filtering genes to improve sensitivity in oligonucleotide microarray data analysisStefano Calza
Department of Medical Epidemiology and Biostatistics Karolinska Institute, Stockholm, Sweden
Nucleic Acids Res 35:e102. 2007..A freely-available package called FLUSH implements the procedures and graphical displays described in the article... - Correlation test to assess low-level processing of high-density oligonucleotide microarray dataAlexander Ploner
Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
BMC Bioinformatics 6:80. 2005..The choice of technique has a profound effect on subsequent statistical analyses, but there is no method to assess whether a particular technique is appropriate for a specific data set, without reference to external data... - The discovery of human genetic variations and their use as disease markers: past, present and futureChee Seng Ku
Department of Epidemiology and Public Health, Centre for Molecular Epidemiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
J Hum Genet 55:403-15. 2010..Finally, we also discuss the future directions in the field and their impacts on next generation genome-wide association studies... - Intrinsic molecular signature of breast cancer in a population-based cohort of 412 patientsStefano Calza
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobel väg 12A, SE 171 77 Stockholm, Sweden
Breast Cancer Res 8:R34. 2006..So far, however, they have not superseded routine histopathology and staging criteria, partly because the few studies performed on molecular subtyping have had little validation and limited clinical characterization... - Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohortsYudi Pawitan
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Breast Cancer Res 7:R953-64. 2005..Breast cancer expression profiling has so far mainly been used to identify women with a poor prognosis as candidates for adjuvant therapy but without demonstrated value for therapy prediction... - Regions of homozygosity in three Southeast Asian populationsShu Mei Teo
Centre for Molecular Epidemiology, National University of Singapore, Singapore
J Hum Genet 57:101-8. 2012.... - Regions of homozygosity and their impact on complex diseases and traitsChee Seng Ku
Department of Epidemiology and Public Health, Centre for Molecular Epidemiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
Hum Genet 129:1-15. 2011..The homozygosity association approach holds great promise in identifying genetic susceptibility loci harboring recessive variants for complex diseases and traits... - The pursuit of genome-wide association studies: where are we now?Chee Seng Ku
Department of Epidemiology and Public Health, Yong Loo Lin School of Medicine, Centre for Molecular Epidemiology, National University of Singapore, Singapore
J Hum Genet 55:195-206. 2010..This review will focus on GWAS of SNPs association for complex diseases but not studies of copy number variations... - Risk and protective factors for Parkinson's disease: a study in Swedish twinsKarin Wirdefeldt
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-181 77 Stockholm, Sweden
Ann Neurol 57:27-33. 2005..We confirm the protective effect of smoking on Parkinson's disease and establish that the association is only partially explained by genetic and familial environmental factors... - Analysis of p53 mutation status in human cancer cell lines: a paradigm for cell line cross-contaminationHanna Berglind
Karolinska Institute, Department of Oncology Pathology, Cancer Center Karolinska CCK, Stockholm, Sweden
Cancer Biol Ther 7:699-708. 2008..The p53 web site has been updated with new sections describing the p53 status in the majority of cell lines and a special section devoted to cell lines with controversial p53 status... - Statistical challenges associated with detecting copy number variations with next-generation sequencingShu Mei Teo
Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117597, NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 117456 and Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
Bioinformatics 28:2711-8. 2012..However, because of the complexity of the genome and the short read lengths from NGS technology, there are still many challenges associated with the analysis of NGS data for CNVs, no matter which method or algorithm is used... - Tobacco use, body mass index and the risk of malignant lymphomas--a nationwide cohort study in SwedenPia Fernberg
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
Int J Cancer 118:2298-302. 2006..6-24.9). We conclude that tobacco smoking and high BMI do not entail an increased risk of NHL and HD. Our findings of a relation between the duration of snuff dipping and HD need further investigation... - Finding regions of significance in SELDI measurements for identifying protein biomarkersChuen Seng Tan
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet Stockholm, Sweden
Bioinformatics 22:1515-23. 2006..RESULTS: We show that RS has better operating characteristics than several existing methods and demonstrate routine applications on a number of large datasets... - Profound changes in breast cancer incidence may reflect changes into a Westernized lifestyle: a comparative population-based study in Singapore and SwedenKee Seng Chia
Center for Molecular Epidemiology, Faculty of Medicine, National University of Singapore, 16 Medical Drive, 117597, Singapore
Int J Cancer 113:302-6. 2005..The incidence of breast cancer in postmenopausal women in Singapore will probably continue to rise in the coming decades to match the current Swedish rates... - Genetic analysis of age-at-onset traits based on case-control family dataBenjamin H Yip
Department of Psychiatry, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong
Stat Med 29:3258-66. 2010..A pseudo-h-likelihood approach is used to analyse the ascertained data. We study the performance of the method using simulated data, and provide an illustration with analysis of melanoma in the Swedish population... - Normalization of gene-expression microarray dataStefano Calza
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
Methods Mol Biol 673:37-52. 2010..In this chapter, we introduce the basic concepts and methods, and illustrate them using data from three commonly used commercial platforms... - Network enrichment analysis: extension of gene-set enrichment analysis to gene networksAndrey Alexeyenko
School of Biotechnology, Royal Institute of Technology, Stockholm, Sweden
BMC Bioinformatics 13:226. 2012.... - Super-sparse principal component analyses for high-throughput genomic dataDonghwan Lee
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
BMC Bioinformatics 11:296. 2010.... - Modelling infectious disease transmission with complex exposure pattern and sparse outcome dataMarie Reilly
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Stat Med 23:3013-32. 2004..Finally, we discuss other problems where the model is applicable... - Revisiting Mendelian disorders through exome sequencingChee Seng Ku
Department of Epidemiology and Public Health, Centre for Molecular Epidemiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
Hum Genet 129:351-70. 2011.... - Is the association between general cognitive ability and violent crime caused by family-level confounders?Thomas Frisell
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
PLoS ONE 7:e41783. 2012..Socioeconomic differences are notoriously difficult to quantify, however, and it is possible that the association between intelligence and delinquency suffer substantial residual confounding... - A population-based study of copy number variants and regions of homozygosity in healthy Swedish individualsShu Mei Teo
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
J Hum Genet 56:524-33. 2011..This study found many CNV loci that warrant further investigation, and also highlighted the abundance and importance of investigating ROHs for their associations with complex diseases and traits... - Parental age and risk of childhood cancers: a population-based cohort study from SwedenBenjamin H Yip
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, 171 77 Stockholm, Sweden
Int J Epidemiol 35:1495-503. 2006..69, 95%CI = 1.21-2.35) when maternal age was included in the analysis. CONCLUSION: Our findings indicate that advanced parental age might be associated with an increased risk of early childhood cancers... - Human genetics and genomics a decade after the release of the draft sequence of the human genomeNasheen Naidoo
Centre for Molecular Epidemiology, Department of Epidemiology and Public Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
Hum Genomics 5:577-622. 2011..This paper reviews these major developments in human genetics and genomics over the past decade... - Maternal and fetal genetic factors account for most of familial aggregation of preeclampsia: a population-based Swedish cohort studySven Cnattingius
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden
Am J Med Genet A 130:365-71. 2004..4-0.9). Genetic factors account for more than half of the liability of preeclampsia, and maternal genes contribute more than fetal genes. We suggest that the couple effect is due to a genetic interaction between mother and father... - Correcting for cancer genome size and tumour cell content enables better estimation of copy number alterations from next-generation sequence dataArief Gusnanto
Department of Statistics, University of Leeds, Leeds LS2 9JT, UK
Bioinformatics 28:40-7. 2012..Here we provide a method that corrects contamination with normal cells and adjusts for genomes of different sizes so that the actual copy number of each region can be estimated... - Improved grading of breast adenocarcinomas based on genomic instabilityUlrike Kronenwett
Division of Cellular and Molecular Analysis, Department of Oncology and Pathology, Karolinska Institute and Hospital, Stockholm, Sweden
Cancer Res 64:904-9. 2004.... - Analysis and prediction of the BSE incidence in IrelandYudi Pawitan
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, P O Box 281, 17177 Stockholm, Sweden
Prev Vet Med 62:267-83. 2004..The trough in the propagation risk in 1990 coincided with a ban of the use of meat-and-bone meal for ruminant feed. Excluding the newly adopted active surveillance method in 2001, the predicted and observed data were comparable... - Genetic mixed linear models for twin survival dataIl Do Ha
Department of Asset Management, Daegu Haany University, Gyeongsan 712 715, Korea
Behav Genet 37:621-30. 2007..We also propose a simple and fast computation method for dealing with large data sets. The method is illustrated by the survival data from the Swedish Twin Registry. Finally, a simulation study is carried out to evaluate its performance... - An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survivalLance D Miller
Genome Institute of Singapore, 60 Biopolis Street, Singapore 138672
Proc Natl Acad Sci U S A 102:13550-5. 2005..Our results show the primary importance of p53 functional status in predicting clinical breast cancer behavior... - Case-cohort methods for survival data on families from routine registersTron Anders Moger
Institute of Basic Medical Sciences, Department of Biostatistics, University of Oslo, Blindern, 0317 Oslo, Norway
Stat Med 27:1062-74. 2008..We also provide an application to survival data from the Medical Birth Registry of Norway... - [Cancer researchers need statistical uncertainty!]Paul Dickman
Lakartidningen 101:1842. 2004 - Estrogen-dependent signaling in a molecularly distinct subclass of aggressive prostate cancerSunita R Setlur
Department of Pathology, Brigham and Women s Hospital, Boston, MA, USA
J Natl Cancer Inst 100:815-25. 2008.... - Nine-gene molecular signature is not associated with prostate cancer death in a watchful waiting cohortLorelei A Mucci
Channing Laboratory, Department of Medicine, Brigham and Women s Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA
Cancer Epidemiol Biomarkers Prev 17:249-51. 2008..We quantified protein expression of the nine genes in tumors to classify progression risk. Accounting for clinical prognostic factors, the nine-gene model did not provide discrimination to predict lethal and indolent prostate cancer... - Identification of differentially expressed genes and false discovery rate in microarray studiesArief Gusnanto
Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, UK
Curr Opin Lipidol 18:187-93. 2007..To highlight the development in microarray data analysis for the identification of differentially expressed genes, particularly via control of false discovery rate... - Genomic instability and prognosis in breast carcinomasUlrike Kronenwett
Department of Medical Epidemiology and Biostatistics Karolinska Institutet, Box 281, 17176 Stockholm, Sweden
Cancer Epidemiol Biomarkers Prev 15:1630-5. 2006..Objective classification of breast adenocarcinomas into stable and unstable subtypes is a useful prognostic indicator independent of established clinical factors... - Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancerAnna V Ivshina
Genome Institute of Singapore, Singapore
Cancer Res 66:10292-301. 2006.... - Robust ascertainment-adjusted parameter estimationMaengseok Noh
Department of Statistics, Seoul University, Seoul, Republic of Korea
Genet Epidemiol 29:68-75. 2005..We revisit and extend the previous simulation, and show that the resulting estimator is efficient and robust against misspecification of the distribution of latent variables... - Robust smooth segmentation approach for array CGH data analysisJian Huang
Statistical Laboratory, Department of Statistics, University College Cork, Ireland
Bioinformatics 23:2463-9. 2007..To take this into account, we propose a smooth segmentation (smoothseg) approach...