Logical analysis of survival data: prognostic survival models by detecting high-degree interactions in right-censored data.
about
Survival dimensionality reduction (SDR): development and clinical application of an innovative approach to detect epistasis in presence of right-censored data.Avoiding Pitfalls in the Statistical Analysis of Heterogeneous Tumors.Learning rule sets from survival data.Circulating free DNA integrity and concentration as independent prognostic markers in metastatic breast cancer.Variable Selection Methods for Right-Censored Time-to-Event Data with High-Dimensional Covariates
P2860
Logical analysis of survival data: prognostic survival models by detecting high-degree interactions in right-censored data.
description
2008 nî lūn-bûn
@nan
2008 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Logical analysis of survival d ...... ctions in right-censored data.
@ast
Logical analysis of survival d ...... ctions in right-censored data.
@en
type
label
Logical analysis of survival d ...... ctions in right-censored data.
@ast
Logical analysis of survival d ...... ctions in right-censored data.
@en
prefLabel
Logical analysis of survival d ...... ctions in right-censored data.
@ast
Logical analysis of survival d ...... ctions in right-censored data.
@en
P2860
P356
P1433
P1476
Logical analysis of survival d ...... ctions in right-censored data.
@en
P2093
Anupama Reddy
Louis-Philippe Kronek
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN265
P407
P577
2008-08-01T00:00:00Z