ruppinlab/tcga-microbiome-prediction-v1.1
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2022
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| _version_ | 1866902077060415488 |
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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 |