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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742441/
https://www.ncbi.nlm.nih.gov/pubmed/31469830
http://dx.doi.org/10.1371/journal.pcbi.1007332

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742441/
https://www.ncbi.nlm.nih.gov/pubmed/31469830
http://dx.doi.org/10.1371/journal.pcbi.1007332

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