A fast ranking algorithm for predicting gene functions in biomolecular networks.
about
Think globally and solve locally: secondary memory-based network learning for automated multi-species function predictionAn extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.RecRWR: a recursive random walk method for improved identification of diseases.The role of protein interaction networks in systems biomedicine.Evaluation of liver cirrhosis and hepatocellular carcinoma using Protein-Protein Interaction Networks.NegGOA: negative GO annotations selection using ontology structure.Hierarchical ensemble methods for protein function prediction.RANKS: a flexible tool for node label ranking and classification in biological networks.Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.Within network learning on big graphs using secondary memory-based random walk kernels
P2860
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P2860
A fast ranking algorithm for predicting gene functions in biomolecular networks.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年學術文章
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name
A fast ranking algorithm for predicting gene functions in biomolecular networks.
@en
A fast ranking algorithm for predicting gene functions in biomolecular networks.
@nl
type
label
A fast ranking algorithm for predicting gene functions in biomolecular networks.
@en
A fast ranking algorithm for predicting gene functions in biomolecular networks.
@nl
prefLabel
A fast ranking algorithm for predicting gene functions in biomolecular networks.
@en
A fast ranking algorithm for predicting gene functions in biomolecular networks.
@nl
P356
P1476
A fast ranking algorithm for predicting gene functions in biomolecular networks.
@en
P2093
Marco Mesiti
P304
P356
10.1109/TCBB.2012.114
P577
2012-11-01T00:00:00Z