Predicting in vitro drug sensitivity using random forests Academic Article uri icon

Overview

MeSH Major

  • Antineoplastic Agents
  • Artificial Intelligence
  • Drug Screening Assays, Antitumor
  • Gene Expression Profiling

abstract

  • Software was written in the R language and will be available together with associated gene expression and drug response data as the package ivDrug at http://r-forge.r-project.org.

publication date

  • January 2011

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC3018816

Digital Object Identifier (DOI)

  • 10.1093/bioinformatics/btq628

PubMed ID

  • 21134890

Additional Document Info

start page

  • 220

end page

  • 4

volume

  • 27

number

  • 2