Selection of important variables by statistical learning in genome-wide association analysis.
about
Impact of natural genetic variation on gene expression dynamics.Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
P2860
Selection of important variables by statistical learning in genome-wide association analysis.
description
2009 nî lūn-bûn
@nan
2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
name
Selection of important variabl ...... ome-wide association analysis.
@ast
Selection of important variabl ...... ome-wide association analysis.
@en
Selection of important variabl ...... ome-wide association analysis.
@nl
type
label
Selection of important variabl ...... ome-wide association analysis.
@ast
Selection of important variabl ...... ome-wide association analysis.
@en
Selection of important variabl ...... ome-wide association analysis.
@nl
prefLabel
Selection of important variabl ...... ome-wide association analysis.
@ast
Selection of important variabl ...... ome-wide association analysis.
@en
Selection of important variabl ...... ome-wide association analysis.
@nl
P2860
P1433
P1476
Selection of important variabl ...... ome-wide association analysis.
@en
P2093
C Charles Gu
Wei Will Yang
P2860
P2888
P356
10.1186/1753-6561-3-S7-S70
P478
P577
2009-12-15T00:00:00Z
P5875
P6179
1009586446