hermidalc - Overview

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Leandro Hermida hermidalc

cancer data science / bioinformatics / computational biology / genomics

  • Pittsburgh, PA

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@ruppinlab

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  1. Framework to build, evaluate, select, and compare ML classification and regression models using high-dimensional biological data and other covariates

    Python 2 1

  2. Framework to build, evaluate, select, and compare ML survival analysis models using high-dimensional biological data and other covariates

    Python 1 1

  3. A fast, efficient, and accurate functional and taxonomic meta-omic profiler built on Pufferfish and the ccdBG

    Python

  4. 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 2…

    Python 18 9

  5. Kraken2 + Bracken based pipeline for classifying and quantifying microbial reads from GDC TCGA WGS data

    Python 1

  6. STAR + edgeR/DESeq2/limma-voom + GSEA RNA-seq gene expression analysis workflow

    Python