Author

Divya C. Kernik

Washington University in St. LouisORCID 0000-0002-8216-9744Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Colleen E. ClancyiD· 1 shared Igor V. VorobyoviD· 1 shared Junko KurokawaiD· 1 shared Kauho Sakamoto· 1 shared Parya AghasafariiD· 1 shared Pei‐Chi YangiD· 1 shared Yasunari KandaiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Colleen E. ClancyORCID

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1 paper

Recent·Most cited

A deep learning algorithm to translate and classify cardiac electrophysiology: From induced pluripotent stem cell-derived cardiomyocytes to adult cardiac cells

Parya Aghasafari, Pei‐Chi Yang, Divya C. Kernik, Kauho Sakamoto, Yasunari Kanda, Junko Kurokawa, Igor V. Vorobyov, Colleen E. Clancy

This paper develops a deep learning model to classify and predict electrophysiological responses in cardiac cells across developmental stages using simulated and experimental data.

bioRxiv · Sep 28, 2020 · PreprintBioinformatics