about
Identifying gene regulatory network rewiring using latent differential graphical models.Identifying differential networks based on multi-platform gene expression data.Connecting prognostic ligand receptor signaling loops in advanced ovarian cancer.JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data.Incorporating prior information into differential network analysis using non-paranormal graphical models.Mixed scale joint graphical lasso.Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network
P2860
Q30276421-B6F2504E-D047-4C8E-9453-FF1762C4CBA5Q31143551-B1D36192-9D43-4964-97A3-722472CA5EECQ34224414-CC59E8FD-4DF7-4501-9ABA-AAF2CF0E3943Q36393065-B717828B-27B8-49CF-9EB9-EA19B1E42E38Q38838330-A410915C-BCA7-4EE8-A67C-CDB8998310A9Q39669174-CE105D6B-C25D-4973-8FFA-1169D4999444Q58703297-A321D11C-3DB5-4211-AD78-566A88D3CAED
P2860
description
2014 nî lūn-bûn
@nan
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
2014年论文
@zh
2014年论文
@zh-cn
name
Direct estimation of differential networks
@ast
Direct estimation of differential networks
@en
type
label
Direct estimation of differential networks
@ast
Direct estimation of differential networks
@en
prefLabel
Direct estimation of differential networks
@ast
Direct estimation of differential networks
@en
P2093
P2860
P356
P1433
P1476
Direct estimation of differential networks
@en
P2093
Hongzhe Li
Sihai Dave Zhao
T Tony Cai
P2860
P304
P356
10.1093/BIOMET/ASU009
P407
P577
2014-06-01T00:00:00Z