Ruppin Lab
- 28 followers
- National Cancer Institute
- https://ccr.cancer.gov/cancer-data-science-laboratory
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Repositories
- EXPAND Public
AI driven breast cancer subtyping and risk stratification from slide-inferred pathologist-interpretable nuclear features
- EXPRESSO Public
EXPRESSO is a drug-specific supervised LASSO logistic regression framework for transcriptome-based treatment response prediction. It evaluates predictive power of drug targets and biomarkers across patient cohorts using a Leave-One-Cohort-Out Cross-Validation (LOCO-CV) strategy.
- DECODEM Public
Investigate the predictive power of the TME for patient response in a cell-type-specific manner
- tcga-wgs-kraken-microbial-quant Public
Kraken2 + Bracken based pipeline for classifying and quantifying microbial reads from GDC TCGA WGS data
- MORSE Public
- pathogen-discovery-rules Public
- tcga-microbiome-prediction Public
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 and combined microbial abundance and gene expression for comparison.
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