A conditional random fields method for RNA sequence-structure relationship modeling and conformation sampling
about
A simple probabilistic model of multibody interactions in proteins.Drug-target interaction prediction by integrating chemical, genomic, functional and pharmacological data.Systems biology in the context of big data and networks.RNA-MoIP: prediction of RNA secondary structure and local 3D motifs from sequence data.Towards 3D structure prediction of large RNA molecules: an integer programming framework to insert local 3D motifs in RNA secondary structure.
P2860
A conditional random fields method for RNA sequence-structure relationship modeling and conformation sampling
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
A conditional random fields me ...... ling and conformation sampling
@ast
A conditional random fields me ...... ling and conformation sampling
@en
A conditional random fields me ...... ling and conformation sampling
@nl
type
label
A conditional random fields me ...... ling and conformation sampling
@ast
A conditional random fields me ...... ling and conformation sampling
@en
A conditional random fields me ...... ling and conformation sampling
@nl
prefLabel
A conditional random fields me ...... ling and conformation sampling
@ast
A conditional random fields me ...... ling and conformation sampling
@en
A conditional random fields me ...... ling and conformation sampling
@nl
P2860
P356
P1433
P1476
A conditional random fields me ...... ling and conformation sampling
@en
P2093
Zhiyong Wang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTR232
P407
P577
2011-07-01T00:00:00Z