Learning What a Good Structural Variant Looks Like
Learning What a Good Structural Variant Looks Like
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Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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English
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Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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Structural variations (SVs) are an important class of genetic mutations, yet SV detectors still suffer from high false-positive rates. In many cases, humans can quickly determine whether a putative SV is real by merely looking at a visualization of the SV's coverage profile. To that end, we developed Samplot-ML, a convolutional neural network(CNN)t...
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Full title
Learning What a Good Structural Variant Looks Like
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TN_cdi_proquest_journals_2405930825
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2405930825
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E-ISSN
2692-8205
DOI
10.1101/2020.05.22.111260
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https://www.proquest.com/docview/2405930825?pq-origsite=primo&accountid=13902
