SPIC: a novel similarity metric for comparing transcription factor binding site motifs based on information contents
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CLIMP: Clustering Motifs via Maximal Cliques with Parallel Computing Design.Assessment of transfer methods for comparative genomics of regulatory networks in bacteria.RSAT matrix-clustering: dynamic exploration and redundancy reduction of transcription factor binding motif collections.Cofunctional Subpathways Were Regulated by Transcription Factor with Common Motif, Common Family, or Common Tissue.GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif.
P2860
SPIC: a novel similarity metric for comparing transcription factor binding site motifs based on information contents
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
SPIC: a novel similarity metri ...... based on information contents
@ast
SPIC: a novel similarity metri ...... based on information contents
@en
type
label
SPIC: a novel similarity metri ...... based on information contents
@ast
SPIC: a novel similarity metri ...... based on information contents
@en
prefLabel
SPIC: a novel similarity metri ...... based on information contents
@ast
SPIC: a novel similarity metri ...... based on information contents
@en
P2093
P2860
P1433
P1476
SPIC: a novel similarity metri ...... based on information contents
@en
P2093
Chuanbin Du
Xiguo Zhou
Zhengchang Su
P2860
P2888
P356
10.1186/1752-0509-7-S2-S14
P478
P577
2013-12-17T00:00:00Z
P6179
1005804768