Vlad Popovici

Summary

Affiliation: Swiss Institute of Bioinformatics
Country: Switzerland

Publications

  1. pmc Effect of training-sample size and classification difficulty on the accuracy of genomic predictors
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Genopode Building, Quartier Sorge, Lausanne CH 1015, Switzerland
    Breast Cancer Res 12:R5. 2010
  2. doi 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
  3. pmc Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
    Janine Antonov
    Department of Clinical Research, University of Bern, Bern, Switzerland
    BMC Cancer 10:37. 2010
  4. pmc Selecting control genes for RT-QPCR using public microarray data
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, CH 1015 Lausanne, Switzerland
    BMC Bioinformatics 10:42. 2009
  5. doi 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
  6. 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

Detail Information

Publications6

  1. pmc Effect of training-sample size and classification difficulty on the accuracy of genomic predictors
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Genopode Building, Quartier Sorge, Lausanne CH 1015, Switzerland
    Breast Cancer Res 12:R5. 2010
    ....
  2. doi 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...
  3. pmc Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
    Janine Antonov
    Department of Clinical Research, University of Bern, Bern, Switzerland
    BMC Cancer 10:37. 2010
    ..The purpose of the work reported here is to test reliable molecular profiles using routinely processed formalin-fixed paraffin-embedded (FFPE) tissues from participants of the clinical trial BIG 1-98 with a median follow-up of 60 months...
  4. pmc Selecting control genes for RT-QPCR using public microarray data
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, CH 1015 Lausanne, Switzerland
    BMC Bioinformatics 10:42. 2009
    ..Thus, the choice of the control genes is of utmost importance, yet there is not a generally accepted standard technique for screening a large number of candidates and identifying the best ones...
  5. doi 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
    ....
  6. 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...