Prediction of Candidate Primary Immunodeficiency Disease Genes Using a Support Vector Machine Learning Approach

Screening and early identification of primary immunodeficiency disease (PID) genes is a major challenge for physicians. Many resources have catalogued molecular alterations in known PID genes along with their associated clinical and immunological phenotypes. However, these resources do not assist in...

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Autori principali: Keerthikumar, Shivakumar, Bhadra, Sahely, Kandasamy, Kumaran, Raju, Rajesh, Ramachandra, Y.L., Bhattacharyya, Chiranjib, Imai, Kohsuke, Ohara, Osamu, Mohan, Sujatha, Pandey, Akhilesh
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2009
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC2780952/
https://ncbi.nlm.nih.gov/pubmed/19801557
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/dnares/dsp019
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