ruppinlab/tcga-microbiome-prediction-v1.1

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Auteurs principaux: Hermida, Leandro Cruz, Gertz, E. Michael
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2022
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author Hermida, Leandro Cruz
Gertz, E. Michael
author_facet Hermida, Leandro Cruz
Gertz, E. Michael
contents <p>Predictive models and analysis of cancer prognosis and drug response using primary tumor microbial abundances derived from WGS and RNA-seq sequencing data for 32 TCGA cancers (Poore et al. Nature 2020), including equivalent models using TCGA RNA-seq gene expression data and combined microbial abundance and gene expression data for comparison.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_5838056
institution Zenodo
language eng
publishDate 2022
publisher Zenodo
record_format zenodo
spellingShingle ruppinlab/tcga-microbiome-prediction-v1.1
Hermida, Leandro Cruz
Gertz, E. Michael
Cancer
Cancer genomics
Cancer microenvironment
Tumor biomarkers
Computational biology and bioinformatics
Computational models
Tumor microbiome
Gene expression
Microbial abundances
Predictive models
Prognosis
Drug response
Chemotherapy
<p>Predictive models and analysis of cancer prognosis and drug response using primary tumor microbial abundances derived from WGS and RNA-seq sequencing data for 32 TCGA cancers (Poore et al. Nature 2020), including equivalent models using TCGA RNA-seq gene expression data and combined microbial abundance and gene expression data for comparison.</p>
title ruppinlab/tcga-microbiome-prediction-v1.1
topic Cancer
Cancer genomics
Cancer microenvironment
Tumor biomarkers
Computational biology and bioinformatics
Computational models
Tumor microbiome
Gene expression
Microbial abundances
Predictive models
Prognosis
Drug response
Chemotherapy
url https://doi.org/10.5281/zenodo.5838056