Author

Mitchell Kong

University of California San Diego

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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Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Maya NatesaniD· 1 shared Min ShiiD· 1 shared Reetika R. GhagiD· 1 shared Shamim Ara MollahiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Maya NatesanORCID

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1 paper

Recent·Most cited

CREWdb 1.0: Optimizing Chromatin Readers, Erasers, and Writers Database using Machine Learning-Based Approach

Maya Natesan, Reetika R. Ghag, Mitchell Kong, Min Shi, Shamim Ara Mollah

CREWdb 1.0 uses machine learning to predict and classify chromatin regulator proteins, improving the accuracy of a database for readers, erasers, and writers.

bioRxiv · Jun 2, 2022 · PreprintBioinformatics