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PLoS Comput Biol. 2016 May 12;12(5):e1004725. doi: 10.1371/journal.pcbi.1004725. eCollection 2016 May.

Towards Increasing the Clinical Relevance of In Silico Methods to Predict Pathogenic Missense Variants.

Author information

1
Department of Biomedical Engineering and The Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America.
2
Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
PMID:
27171182
PMCID:
PMC4865359
DOI:
10.1371/journal.pcbi.1004725
[Indexed for MEDLINE]
Free PMC Article

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