Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models.
Saved in:
| Title: | Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models. |
|---|---|
| Authors: | Funnell T; Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America., Zhang AW; Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada., Grewal D; Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America., McKinney S; Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada., Bashashati A; Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada., Wang YK; Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada., Shah SP; Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.; Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada.; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2019 Feb 22; Vol. 15 (2), pp. e1006799. Date of Electronic Publication: 2019 Feb 22 (Print Publication: 2019). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1553-7358 |
|---|---|
| DOI: | 10.1371/journal.pcbi.1006799 |
