Author

John A Phillips

Vanderbilt University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Jens MeileriD· 1 shared John A. CapraiD· 1 shared John H. NewmaniD· 1 shared Joy D. CoganiD· 1 shared Rizwan HamidiD· 1 shared Souhrid MukherjeeiD· 1 shared Undiagnosed Diseases Network· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Jens MeilerORCID

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1 paper

Recent·Most cited

Identifying digenic disease genes using machine learning in the undiagnosed diseases network

Souhrid Mukherjee, Joy D. Cogan, John H. Newman, John A Phillips, Rizwan Hamid, Undiagnosed Diseases Network, Jens Meiler, John A. Capra

This paper introduces DiGePred, a machine learning tool that identifies potential digenic disease gene pairs, achieving high precision and recall in evaluating rare genetic disorders.

The American Journal of Human Genetics · Sep 15, 2021Peer-reviewedBioinformatics