Learning regulatory programs by threshold SVD regression.
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Integrative analyses of cancer data: a review from a statistical perspectiveIntegrative analysis for identifying joint modular patterns of gene-expression and drug-response data.Inference of transcriptional regulation in cancers.A note on rank reduction in sparse multivariate regression.Model diagnostics in reduced-rank estimationModeling the causal regulatory network by integrating chromatin accessibility and transcriptome data.
P2860
Learning regulatory programs by threshold SVD regression.
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին 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
Learning regulatory programs by threshold SVD regression.
@ast
Learning regulatory programs by threshold SVD regression.
@en
Learning regulatory programs by threshold SVD regression.
@nl
type
label
Learning regulatory programs by threshold SVD regression.
@ast
Learning regulatory programs by threshold SVD regression.
@en
Learning regulatory programs by threshold SVD regression.
@nl
prefLabel
Learning regulatory programs by threshold SVD regression.
@ast
Learning regulatory programs by threshold SVD regression.
@en
Learning regulatory programs by threshold SVD regression.
@nl
P2860
P356
P1476
Learning regulatory programs by threshold SVD regression.
@en
P2093
Wing Hung Wong
P2860
P304
15675-15680
P356
10.1073/PNAS.1417808111
P407
P50
P577
2014-10-20T00:00:00Z