A comparison of methods for data-driven cancer outlier discovery, and an application scheme to semisupervised predictive biomarker discovery.
about
CSAX: Characterizing Systematic Anomalies in eXpression Data.Identification of microRNAs as potential biomarker for gastric cancer by system biological analysis.Outlier analysis of functional genomic profiles enriches for oncology targets and enables precision medicine.Comparison of methods to identify aberrant expression patterns in individual patients: augmenting our toolkit for precision medicine.OPG and PgR show similar cohort specific effects as prognostic factors in ER positive breast cancer
P2860
A comparison of methods for data-driven cancer outlier discovery, and an application scheme to semisupervised predictive biomarker discovery.
description
2011 nî lūn-bûn
@nan
2011 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
A comparison of methods for da ...... redictive biomarker discovery.
@ast
A comparison of methods for da ...... redictive biomarker discovery.
@en
type
label
A comparison of methods for da ...... redictive biomarker discovery.
@ast
A comparison of methods for da ...... redictive biomarker discovery.
@en
prefLabel
A comparison of methods for da ...... redictive biomarker discovery.
@ast
A comparison of methods for da ...... redictive biomarker discovery.
@en
P2860
P356
P1433
P1476
A comparison of methods for da ...... redictive biomarker discovery.
@en
P2093
Julian Hock Ean Lee
Seppo Karrila
P2860
P304
P356
10.4137/CIN.S6868
P577
2011-04-18T00:00:00Z