Predicting recurrence in clear cell Renal Cell Carcinoma: Analysis of TCGA data using outlier analysis and generalized matrix LVQ

G. Mukherjee, G. Bhanot, K. Raines, S. Sastry, S. Doniach, M. Biehl

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
Original languageEnglish
Title of host publication2016 IEEE Congress on Evolutionary Computation (CEC)
PublisherIEEEXplore
Pages656-661
Number of pages6
ISBN (Electronic)978-1-5090-0623-6
DOIs
Publication statusPublished - 1-Jul-2016
Event2016 IEEE Congress on Evolutionary Computation (CEC) - Vancouver, Canada
Duration: 24-Jul-201629-Jul-2016

Conference

Conference2016 IEEE Congress on Evolutionary Computation (CEC)
Country/TerritoryCanada
CityVancouver
Period24/07/201629/07/2016

Keywords

  • Biology
  • Biomarkers
  • Cancer
  • Drugs
  • Prototypes
  • Training
  • cancer
  • classification
  • gene expression
  • learning vector quantization
  • mRNA-Seq
  • outlier analysis
  • recurrence risk
  • supervised learning

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