A combined approach for genome wide protein function annotation/prediction.
about
Data Mining and Pattern Recognition Models for Identifying Inherited Diseases: Challenges and ImplicationsMulti-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfareGenetic resources for advanced biofuel production described with the Gene OntologyAnnotation and curation of uncharacterized proteins- challenges.Interspecies gene function prediction using semantic similarity.A three-way approach for protein function classificationLarge-scale identification of human protein function using topological features of interaction network.CD4-gp120 interaction interface - a gateway for HIV-1 infection in human: molecular network, modeling and docking studies.Discovery and functional identification of fecundity-related genes in the brown planthopper by large-scale RNA interference.Editorial: Annotation and curation of uncharacterized proteins: systems biology approaches.A Bayesian approach for estimating protein-protein interactions by integrating structural and non-structural biological data.
P2860
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P2860
A combined approach for genome wide protein function annotation/prediction.
description
2013 nî lūn-bûn
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name
A combined approach for genome wide protein function annotation/prediction.
@en
A combined approach for genome wide protein function annotation/prediction.
@nl
type
label
A combined approach for genome wide protein function annotation/prediction.
@en
A combined approach for genome wide protein function annotation/prediction.
@nl
prefLabel
A combined approach for genome wide protein function annotation/prediction.
@en
A combined approach for genome wide protein function annotation/prediction.
@nl
P2093
P2860
P1433
P1476
A combined approach for genome wide protein function annotation/prediction.
@en
P2093
Alfredo Benso
Gianfranco Politano
Hafeez Ur Rehman
Stefano Di Carlo
P2860
P2888
P356
10.1186/1477-5956-11-S1-S1
P433
P577
2013-11-07T00:00:00Z
P5875
P6179
1022084394