A novel biclustering approach to association rule mining for predicting HIV-1-human protein interactions.
about
Structure homology and interaction redundancy for discovering virus-host protein interactionsA primer to frequent itemset mining for bioinformaticsComputational discovery of Epstein-Barr virus targeted human genes and signalling pathways.Computational approaches for prediction of pathogen-host protein-protein interactions.A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks.Analyzing large gene expression and methylation data profiles using StatBicRM: statistical biclustering-based rule mining.A NMF based approach for integrating multiple data sources to predict HIV-1-human PPIs.Computational prediction of virus-human protein-protein interactions using embedding kernelized heterogeneous data.BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge.Computational reconstruction of proteome-wide protein interaction networks between HTLV retroviruses and Homo sapiens.AdaBoost based multi-instance transfer learning for predicting proteome-wide interactions between Salmonella and human proteinsProbability weighted ensemble transfer learning for predicting interactions between HIV-1 and human proteins.Network-based study reveals potential infection pathways of hepatitis-C leading to various diseasesPreservation affinity in consensus modules among stages of HIV-1 progression.BicNET: Flexible module discovery in large-scale biological networks using biclusteringA review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions.Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach.Incorporating the type and direction information in predicting novel regulatory interactions between HIV-1 and human proteins using a biclustering approach.Review of computational methods for virus-host protein interaction prediction: a case study on novel Ebola-human interactions.Protein-protein interaction site prediction in Homo sapiens and E. coli using an interaction-affinity based membership function in fuzzy SVM.
P2860
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P2860
A novel biclustering approach to association rule mining for predicting HIV-1-human protein interactions.
description
2012 nî lūn-bûn
@nan
2012 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
A novel biclustering approach ...... -1-human protein interactions.
@ast
A novel biclustering approach ...... -1-human protein interactions.
@en
type
label
A novel biclustering approach ...... -1-human protein interactions.
@ast
A novel biclustering approach ...... -1-human protein interactions.
@en
prefLabel
A novel biclustering approach ...... -1-human protein interactions.
@ast
A novel biclustering approach ...... -1-human protein interactions.
@en
P2860
P50
P1433
P1476
A novel biclustering approach ...... -1-human protein interactions.
@en
P2860
P304
P356
10.1371/JOURNAL.PONE.0032289
P407
P577
2012-04-23T00:00:00Z