Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
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A simplicial complex-based approach to unmixing tumor progression data.Connecting prognostic ligand receptor signaling loops in advanced ovarian cancer.Addressing Loss of Efficiency Due to Misclassification Error in Enriched Clinical Trials for the Evaluation of Targeted Therapies Based on the Cox Proportional Hazards Model.
P2860
Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
@ast
Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
@en
type
label
Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
@ast
Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
@en
prefLabel
Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
@ast
Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
@en
P2860
P356
P1433
P1476
Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
@en
P2093
Bret M Hanlon
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU065
P407
P50
P577
2014-02-14T00:00:00Z