Eva Budinska

Summary

Affiliation: Masaryk University
Country: Czech Republic

Publications

  1. pmc Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer
    Eva Budinska
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics SIB, Lausanne, Switzerland
    J Pathol 231:63-76. 2013
  2. pmc Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression
    Kristyna Brozkova
    Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic
    Breast Cancer Res 10:R48. 2008
  3. doi request reprint MSMAD: a computationally efficient method for the analysis of noisy array CGH data
    Eva Budinska
    Institute of Biostatistics and Analyses, Masaryk University, Kamenice 126 3, 625 00 Brno, Czech Republic
    Bioinformatics 25:703-13. 2009
  4. pmc Context-dependent interpretation of the prognostic value of BRAF and KRAS mutations in colorectal cancer
    Vlad Popovici
    Institute of Biostatistics and Analyses, Masaryk University, Kotlarska 2, Brno, 611 37, Czech Republic
    BMC Cancer 13:439. 2013
  5. doi request reprint Identification of a poor-prognosis BRAF-mutant-like population of patients with colon cancer
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Quartier Sorge, Genopode, CH 1015 Lausanne, Switzerland
    J Clin Oncol 30:1288-95. 2012
  6. doi request reprint Molecular heterogeneity and centrosome-associated genes in multiple myeloma
    Fedor Kryukov
    Babak Myeloma Group, Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
    Leuk Lymphoma 54:1982-8. 2013
  7. pmc Joint analysis of histopathology image features and gene expression in breast cancer
    Vlad Popovici
    Institute of Biostatistics and Analyses, Faculty of Medicine, Masarykova univerzita, Kamenice 5, Brno, 62500, Czech Republic
    BMC Bioinformatics 17:209. 2016
  8. pmc ToPASeq: an R package for topology-based pathway analysis of microarray and RNA-Seq data
    Ivana Ihnatova
    Institute of Biostatistics and Analyses, Faculty of Medicine, Masarykova univerzita, Brno, Czech Republic
    BMC Bioinformatics 16:350. 2015
  9. doi request reprint Rgtsp: a generalized top scoring pairs package for class prediction
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, CH 1015 Lausanne, Switzerland
    Bioinformatics 27:1729-30. 2011

Collaborators

Detail Information

Publications9

  1. pmc Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer
    Eva Budinska
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics SIB, Lausanne, Switzerland
    J Pathol 231:63-76. 2013
    ..Original microarray data were uploaded to the ArrayExpress database (http://www.ebi.ac.uk/arrayexpress/) under Accession Nos E-MTAB-990 and E-MTAB-1026...
  2. pmc Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression
    Kristyna Brozkova
    Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic
    Breast Cancer Res 10:R48. 2008
    ....
  3. doi request reprint MSMAD: a computationally efficient method for the analysis of noisy array CGH data
    Eva Budinska
    Institute of Biostatistics and Analyses, Masaryk University, Kamenice 126 3, 625 00 Brno, Czech Republic
    Bioinformatics 25:703-13. 2009
    ..With increasing resolution of CGH arrays, the demand for computationally efficient algorithms arises, which are effective in the detection of aberrations even in very noisy data...
  4. pmc Context-dependent interpretation of the prognostic value of BRAF and KRAS mutations in colorectal cancer
    Vlad Popovici
    Institute of Biostatistics and Analyses, Masaryk University, Kotlarska 2, Brno, 611 37, Czech Republic
    BMC Cancer 13:439. 2013
    ..We investigated the prognostic value of BRAF and KRAS mutations in various contexts defined by stratifications of the patient population...
  5. doi request reprint Identification of a poor-prognosis BRAF-mutant-like population of patients with colon cancer
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Quartier Sorge, Genopode, CH 1015 Lausanne, Switzerland
    J Clin Oncol 30:1288-95. 2012
    ..Our purpose was development and assessment of a BRAF-mutant gene expression signature for colon cancer (CC) and the study of its prognostic implications...
  6. doi request reprint Molecular heterogeneity and centrosome-associated genes in multiple myeloma
    Fedor Kryukov
    Babak Myeloma Group, Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
    Leuk Lymphoma 54:1982-8. 2013
    ..We believe that future investigation of this molecular heterogeneity will help to refine the broad prognoses offered by present-day established systems and even sub-stratify them...
  7. pmc Joint analysis of histopathology image features and gene expression in breast cancer
    Vlad Popovici
    Institute of Biostatistics and Analyses, Faculty of Medicine, Masarykova univerzita, Kamenice 5, Brno, 62500, Czech Republic
    BMC Bioinformatics 17:209. 2016
    ..However, extracting meaningful and robust image features to be mined jointly with genomic (and clinical, etc.) data represents a real challenge due to the complexity of the images...
  8. pmc ToPASeq: an R package for topology-based pathway analysis of microarray and RNA-Seq data
    Ivana Ihnatova
    Institute of Biostatistics and Analyses, Faculty of Medicine, Masarykova univerzita, Brno, Czech Republic
    BMC Bioinformatics 16:350. 2015
    ..Unfortunately, majority of topological pathway analysis methods remains without implementation and if an implementation exists, it is limited in various factors...
  9. doi request reprint Rgtsp: a generalized top scoring pairs package for class prediction
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, CH 1015 Lausanne, Switzerland
    Bioinformatics 27:1729-30. 2011
    ....