MLG 18/07/2016 - TCGAbiolinks: data, analyses & applications by Antonio Colaprico

Machine Learning Group @ ULB
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Published on Aug 23, 2016

In this talk we first present our recently published R/Bioconductor package TCGAbiolinks. We give a short introduction into how to use the package to query The Cancer Genome Atlas (TCGA) database, download the data and carry out a number of standard analyses using genomic, epigenomic & transcriptomic data.

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