Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment.
about
Cancer subtype discovery and biomarker identification via a new robust network clustering algorithmKnowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput dataReproducible detection of disease-associated markers from gene expression data.Algebraic comparison of partial lists in bioinformaticsEarly urinary biomarkers of diabetic nephropathy in type 1 diabetes mellitus show involvement of kallikrein-kinin system.Novel genetic susceptibility loci for diabetic end-stage renal disease identified through robust naive Bayes classification.
P2860
Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մարտին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Effect of size and heterogenei ...... etic and real data assessment.
@ast
Effect of size and heterogenei ...... etic and real data assessment.
@en
Effect of size and heterogenei ...... etic and real data assessment.
@nl
type
label
Effect of size and heterogenei ...... etic and real data assessment.
@ast
Effect of size and heterogenei ...... etic and real data assessment.
@en
Effect of size and heterogenei ...... etic and real data assessment.
@nl
prefLabel
Effect of size and heterogenei ...... etic and real data assessment.
@ast
Effect of size and heterogenei ...... etic and real data assessment.
@en
Effect of size and heterogenei ...... etic and real data assessment.
@nl
P2093
P2860
P50
P1433
P1476
Effect of size and heterogenei ...... etic and real data assessment.
@en
P2093
Barbara Di Camillo
Francesco Sambo
Gianna Toffolo
Matteo Martini
P2860
P304
P356
10.1371/JOURNAL.PONE.0032200
P407
P50
P577
2012-03-05T00:00:00Z