CScape: a tool for predicting oncogenic single-point mutations in the cancer genome
For somatic point mutations in coding and non-coding regions of the genome, we propose CScape , an integrative classifier for predicting the likelihood that mutations are cancer drivers. Tested on somatic mutations, CScape tends to outperform alternative methods, reaching 91% balanced accuracy in co...
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| Vydané v: | Scientific reports Ročník 7; číslo 1; s. 11597 - 10 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
Nature Publishing Group UK
14.09.2017
Nature Publishing Group |
| Predmet: | |
| ISSN: | 2045-2322, 2045-2322 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | For somatic point mutations in coding and non-coding regions of the genome, we propose
CScape
, an integrative classifier for predicting the likelihood that mutations are cancer drivers. Tested on somatic mutations,
CScape
tends to outperform alternative methods, reaching 91% balanced accuracy in coding regions and 70% in non-coding regions, while even higher accuracy may be achieved using thresholds to isolate high-confidence predictions. Positive predictions tend to cluster in genomic regions, so we apply a statistical approach to isolate coding and non-coding regions of the cancer genome that appear enriched for high-confidence predicted disease-drivers. Predictions and software are available at
http://CScape.biocompute.org.uk/
. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 2045-2322 2045-2322 |
| DOI: | 10.1038/s41598-017-11746-4 |