Article
Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.
DNA research : an international journal for rapid publication of reports on genes and genomes - 1 Dec 2009
Keerthikumar Shivakumar, Bhadra Sahely, Kandasamy Kumaran, Raju Rajesh, Ramachandra Y L, Bhattacharyya Chiranjib, Imai Kohsuke, Ohara Osamu, Mohan Sujatha, Pandey Akhilesh
Abstract excerpt
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 identifying candidate PID genes. We have recently developed a platform designated Resource of Asian PDIs, which...
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