A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancer

Author:

Vasighizaker Akram,Sharma Alok,Dehzangi AbdollahORCID

Funder

National Institute of General Medical Sciences

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference27 articles.

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3. Large Genetic Study Uncovers 14 New Genes Responsible for Developmental Disorders in Children;D. L. McBride;Journal of pediatric nursing,2017

4. Speeding disease gene discovery by sequence based candidate prioritization;E. A. Adie;BMC bioinformatics,2005

5. Discovering disease-genes by topological features in human protein–protein interaction network;J. Xu;Bioinformatics,2006

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