Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.
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svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identificationA computational approach to candidate gene prioritization for X-linked mental retardation using annotation-based binary filtering and motif-based linear discriminatory analysis.Simulation of the dynamics of primary immunodeficiencies in CD4+ T-cells.Computational approaches to disease-gene prediction: rationale, classification and successes.New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins.Human protein reference database and human proteinpedia as discovery resources for molecular biotechnology.Tuning of in vivo cognate B-T cell interactions by Intersectin 2 is required for effective anti-viral B cell immunity.Simulation of the Dynamics of Primary Immunodeficiencies in B Cells
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Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 03 October 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Prediction of candidate primar ...... tor machine learning approach.
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Prediction of candidate primar ...... tor machine learning approach.
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type
label
Prediction of candidate primar ...... tor machine learning approach.
@en
Prediction of candidate primar ...... tor machine learning approach.
@nl
prefLabel
Prediction of candidate primar ...... tor machine learning approach.
@en
Prediction of candidate primar ...... tor machine learning approach.
@nl
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P2860
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P356
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Prediction of candidate primar ...... tor machine learning approach.
@en
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Akhilesh Pandey
Chiranjib Bhattacharyya
Kohsuke Imai
Kumaran Kandasamy
Osamu Ohara
Rajesh Raju
Sahely Bhadra
Shivakumar Keerthikumar
Sujatha Mohan
Y L Ramachandra
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P304
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10.1093/DNARES/DSP019
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2009-10-03T00:00:00Z