Research Topics
Genomes and GenesSpecies | Ker Chau LiSummaryAffiliation: University of California Country: USA Publications
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Detail Information
Publications
Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation studyWei Sun
Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
BMC Genomics 9:242. 2008..This is 1D-trait mapping. 1D-trait mapping ignores the trait-trait interaction completely, which is a major shortcoming...- A method for analyzing censored survival phenotype with gene expression dataTongtong Wu
Department of Epidemiology and Biostatistics, University of Maryland, College Park, MD 20742, USA
BMC Bioinformatics 9:417. 2008..However, due to the censoring effects of survival time and the high dimensionality of gene expression data, effective and unbiased selection of a gene expression signature to predict survival probabilities requires further study... - A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) arrayTianwei Yu
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
BMC Bioinformatics 8:145. 2007..To accurately identify small segments of CNA from SNP array data, segmentation methods that are sensitive to CNA while resistant to noise are required... - Genome-wide coexpression dynamics: theory and applicationKer Chau Li
Department of Statistics, University of California, Los Angeles, CA 90095 1554, USA
Proc Natl Acad Sci U S A 99:16875-80. 2002..The complexity in computation is eased by a new result from mathematical statistics... - A system for enhancing genome-wide coexpression dynamics studyKer Chau Li
Department of Statistics, 8125 Mathematical Sciences Building, University of California Los Angeles, Los Angeles, CA 90095 1554, USA
Proc Natl Acad Sci U S A 101:15561-6. 2004.... - A functional genomic study on NCI's anticancer drug screenK C Li
Department of Statistics, UCLA, Los Angeles, CA 90095 1554, USA
Pharmacogenomics J 4:127-35. 2004..When applied to the human prion, a cellular context embroidered with the gene expression network of Alzheimer disease is revealed... - Finding disease candidate genes by liquid associationKer Chau Li
Department of Statistics, UCLA, 8125 Math Sciences Bldg, Los Angeles, California 90095 1554, USA
Genome Biol 8:R205. 2007..A novel approach to finding candidate genes by using gene expression data through liquid association is developed and used to identify multiple sclerosis susceptibility candidate genes... - Exploring the within- and between-class correlation distributions for tumor classificationXuelian Wei
Department of Statistics, University of California, 8125 Math Sciences Building, Box 951554, Los Angeles, CA 90095 1554, USA
Proc Natl Acad Sci U S A 107:6737-42. 2010..Our method can be extended for general classification problems when only the similarity scores between samples are available... - Study of coordinative gene expression at the biological process levelTianwei Yu
Department of Statistics, University of California Los Angeles, CA90095-1554, USA
Bioinformatics 21:3651-7. 2005..Using another dataset, we report a sharply different network structure featuring cellular responses under environmental stress. SUPPLEMENTARY INFORMATION: http://kiefer.stat.ucla.edu/lap2/download/KL_supplement.pdf... - Dynamically weighted clustering with noise setYijing Shen
Department of Statistics at University of California, Los Angeles, CA 90095, USA
Bioinformatics 26:341-7. 2010..On the opposite side of clustering, there are genes that have distinct expression profiles and do not co-express with other genes. Identification of these scattered genes could enhance the performance of clustering methods... - Detection of eQTL modules mediated by activity levels of transcription factorsWei Sun
Department of Statistics, University of California at Los Angeles, Los Angeles, California, USA
Bioinformatics 23:2290-7. 2007..We develop a procedure to detect the eQTL modules (eQTL hot spots together with linked genes) that are compatible with this scenario... - Apolipoprotein A1 and C-terminal fragment of ?-1 antichymotrypsin are candidate plasma biomarkers associated with acute renal allograft rejectionMary E Ziegler
Department of Pathology and Laboratory Medicine, UCLA School of Public Health, Los Angeles, CA 90095, USA
Transplantation 92:388-95. 2011..Needle biopsies are invasive and associated with patient morbidity. Thus, it is desirable to develop noninvasive tests to predict and diagnose rejection... - Inference of transcriptional regulatory network by two-stage constrained space factor analysisTianwei Yu
Department of Statistics, University of California-Los Angeles, Los Angeles, CA 90095-1554, USA
Bioinformatics 21:4033-8. 2005..SUPPLEMENTARY INFORMATION: http://kiefer.stat.ucla.edu/lap2/download/bti656_supplement.pdf... - Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysisChun Chi Liu
Department of Computer Science, National Chung Hsing University, Taichung, Taiwan, ROC
BMC Bioinformatics 8:164. 2007..An artificial neural network (ANN) is a machine learning technique that can effectively process complex and high noise data. Here, ANNs are applied to process the unique subsequence distribution for prediction of specific oligos... - Context-dependent clustering for dynamic cellular state modeling of microarray gene expressionShinsheng Yuan
Institute of Statistical Science, Acadmia Sinica, 128, Section 2, Academia Road, Nankang, Taipei 115, Taiwan, ROC
Bioinformatics 23:3039-47. 2007..Our method suggests a new way to understand the complex biological system from microarray data...