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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Detalles Bibliográficos
Autores principales: Keerthikumar, Shivakumar, Bhadra, Sahely, Kandasamy, Kumaran, Raju, Rajesh, Ramachandra, Y.L., Bhattacharyya, Chiranjib, Imai, Kohsuke, Ohara, Osamu, Mohan, Sujatha, Pandey, Akhilesh
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Full Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2780952/
https://www.ncbi.nlm.nih.gov/pubmed/19801557
http://dx.doi.org/10.1093/dnares/dsp019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2780952/
https://www.ncbi.nlm.nih.gov/pubmed/19801557
http://dx.doi.org/10.1093/dnares/dsp019

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