Author

Andrey Afanasyev

Moscow Institute of Physics and Technology

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

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

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Ilia O. KorvigoiD· 1 shared Mikhail Y. SkobloviD· 1 shared Nikolai RomashchenkoiD· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperBioinformatics

Ilia O. KorvigoORCID

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1 paper

Recent·Most cited

Generalising Better: Applying Deep Learning To Integrate Deleteriousness Prediction Scores For Whole-Exome SNV Studies

Ilia O. Korvigo, Andrey Afanasyev, Nikolai Romashchenko, Mikhail Y. Skoblov

This paper explores using deep learning to improve the integration of deleteriousness prediction scores for whole-exome SNV studies, showing that simple neural networks can enhance prediction accuracy and coverage.

PLoS ONE · Mar 14, 2018Peer-reviewedBioinformatics