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Structural variation calling and genotyping by moment-based deep convolutional neural networks
Author(s) -
Timothy J. Becker,
Dong-Guk Shin
Publication year - 2021
Publication title -
international journal of data mining and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.214
H-Index - 21
eISSN - 1748-5681
pISSN - 1748-5673
DOI - 10.1504/ijdmb.2021.10039918
Subject(s) - convolutional neural network , genotyping , variation (astronomy) , moment (physics) , computer science , artificial intelligence , structural variation , biology , evolutionary biology , pattern recognition (psychology) , genotype , genetics , astronomy , physics , gene , genome , classical mechanics

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