Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.
about
Identification of prognostic genes and gene sets for early-stage non-small cell lung cancer using bi-level selection methods.Peptide serum markers in islet autoantibody-positive children.Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI.Identification of subtype-specific prognostic signatures using Cox models with redundant gene elimination.
P2860
Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.
@en
type
label
Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.
@en
prefLabel
Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.
@en
P2093
P2860
P356
P1476
Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.
@en
P2093
Florian Buettner
Jan Krumsiek
Michael Laimighofer
P2860
P304
P356
10.1089/CMB.2015.0192
P577
2016-02-19T00:00:00Z