Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA

The confluence of deep sequencing and powerful machine learning is providing an unprecedented peek at the darkest of the dark genomic matter, the non-coding genomic regions lacking any functional annotation. While deep sequencing uncovers rare tumor variants, the heterogeneity of the disease confoun...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:PLoS Comput Biol
Main Authors: Parida, Laxmi, Haferlach, Claudia, Rhrissorrakrai, Kahn, Utro, Filippo, Levovitz, Chaya, Kern, Wolfgang, Nadarajah, Niroshan, Twardziok, Sven, Hutter, Stephan, Meggendorfer, Manja, Walter, Wencke, Baer, Constance, Haferlach, Torsten
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2019
Teme:
Research Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6742441/
https://ncbi.nlm.nih.gov/pubmed/31469830
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007332
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