Querying pathways in protein interaction networks based on hidden Markov models.
about
Effective identification of conserved pathways in biological networks using hidden Markov models.Comparative analysis of protein interaction networks reveals that conserved pathways are susceptible to HIV-1 interception.Disease gene interaction pathways: a potential framework for how disease genes associate by disease-risk modules.Enhancing the accuracy of HMM-based conserved pathway prediction using global correspondence scoresA network synthesis model for generating protein interaction network families.GASOLINE: a Greedy And Stochastic algorithm for optimal Local multiple alignment of Interaction NEtworksEfficient algorithms for training the parameters of hidden Markov models using stochastic expectation maximization (EM) training and Viterbi training.RESQUE: network reduction using semi-Markov random walk scores for efficient querying of biological networks.Characterizing co-expression networks underpinning maize stalk rot virulence in Fusarium verticillioides through computational subnetwork module analyses.
P2860
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P2860
Querying pathways in protein interaction networks based on hidden Markov models.
description
2009 nî lūn-bûn
@nan
2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Querying pathways in protein interaction networks based on hidden Markov models.
@ast
Querying pathways in protein interaction networks based on hidden Markov models.
@en
type
label
Querying pathways in protein interaction networks based on hidden Markov models.
@ast
Querying pathways in protein interaction networks based on hidden Markov models.
@en
prefLabel
Querying pathways in protein interaction networks based on hidden Markov models.
@ast
Querying pathways in protein interaction networks based on hidden Markov models.
@en
P2093
P2860
P356
P1476
Querying pathways in protein interaction networks based on hidden Markov models.
@en
P2093
Byung-Jun Yoon
Sing-Hoi Sze
Xiaoning Qian
P2860
P304
P356
10.1089/CMB.2008.02TT
P577
2009-02-01T00:00:00Z