Benchmarking pipeline for integrative cancer gene discovery algorithms (intcomp)

Leo Mikael Lahti; Martin Schäfer; Hans-Ulrich Klein; Silvio Bicciato; Martin Dugas

Benchmarking pipeline for integrative cancer gene discovery algorithms (intcomp)

Leo Mikael Lahti, Martin Schäfer, Hans-Ulrich Klein, Silvio Bicciato, Martin Dugas

Avdelningen för veterinärmedicinska biovetenskaper

Forskningsoutput: Icke-textbaserad output › Programvara › Vetenskaplig

Sammanfattning

An R package for quantitative comparison of various cancer gene discovery algorithms based on integrative analysis of gene expression and copy number data

Originalspråk	engelska
Status	Publicerad - 2011
MoE-publikationstyp	I2 ICT-programvara

Vetenskapsgrenar

113 Data- och informationsvetenskap

Åtkomst av dokument

http://intcomp.r-forge.r-project.org/

Citera det här

@misc{cdea7a160b67436cbedc397d2fc9b91c,

title = "Benchmarking pipeline for integrative cancer gene discovery algorithms (intcomp)",

abstract = "An R package for quantitative comparison of various cancer gene discovery algorithms based on integrative analysis of gene expression and copy number data ",

keywords = "113 Computer and information sciences",

author = "Lahti, {Leo Mikael} and Martin Sch{\"a}fer and Hans-Ulrich Klein and Silvio Bicciato and Martin Dugas",

note = " Physical medium: http://intcomp.r-forge.r-project.org/",

year = "2011",

language = "English",

}

TY - ADVS

T1 - Benchmarking pipeline for integrative cancer gene discovery algorithms (intcomp)

AU - Lahti, Leo Mikael

AU - Schäfer, Martin

AU - Klein, Hans-Ulrich

AU - Bicciato, Silvio

AU - Dugas, Martin

N1 - Physical medium: http://intcomp.r-forge.r-project.org/

PY - 2011

Y1 - 2011

N2 - An R package for quantitative comparison of various cancer gene discovery algorithms based on integrative analysis of gene expression and copy number data

AB - An R package for quantitative comparison of various cancer gene discovery algorithms based on integrative analysis of gene expression and copy number data

KW - 113 Computer and information sciences

M3 - Software

ER -