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Modeling and correct the GC bias of tumor and normal WGS data for SCNA based tumor subclonal population inferring
BACKGROUND: Somatic copy number alternations (SCNAs) can be utilized to infer tumor subclonal populations in whole genome seuqncing studies, where usually their read count ratios between tumor-normal paired samples serve as the inferring proxy. Existing SCNA based subclonal population inferring tool...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5907144/ https://ncbi.nlm.nih.gov/pubmed/29671389 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2099-0 |
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