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GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortal [version 1; peer review: 2 approved]

Exploratory analysis of cancer consortia data curated by the cBioPortal repository typically requires advanced programming skills and expertise to identify novel genomic prognostic markers that have the potential for both diagnostic and therapeutic exploitation. We developed GNOSIS (GeNomics explOre...

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Библиографические подробности
Главные авторы: Andrew Flaus, Lydia King, Emma Holian, Simone Coughlan, Aaron Golden
Формат: Artigo
Язык:Inglês
Опубликовано: F1000 Research Ltd 2022-01-01
Серии:HRB Open Research
Предметы:
Cancer Genomics
cBioPortal
Precision Oncology
Statistical Analysis
Survival Analysis
Data Exploration
eng
Online-ссылка:https://hrbopenresearch.org/articles/5-8/v1
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