@waldronlab

Waldron Lab at the CUNY SPH

Software and educational materials from the Waldron lab for computational biostatistics at the CUNY SPH in New York City

Pinned repositories

  1. MultiAssayExperiment

    Bioconductor package for management of multi-assay data

    R 35 27

  2. curatedMetagenomicData

    Curated and processed metagenomic data through ExperimentHub

    Shell 30 6

  3. curatedTCGAData

    Curated Data From The Cancer Genome Atlas (TCGA) as MultiAssayExperiment Objects

    R 17 3

  4. HMP16SData

    16S rRNA Sequencing Data from the Human Microbiome Project

    R 2 1

  5. curatedOvarianData

    The curatedOvarianData package provides data for gene expression analysis in patients with ovarian cancer

    R 4

  6. Statistical-Rethinking

    An interactive online reading of McElreath's Statistical Rethinking

    Rebol 35 10

  • Datasets using the MultiAssayExperiment data class.

    R 2 1 GPL-2.0 Updated Jul 20, 2018
  • Toolbox package for organizing and working with TCGA data

    R 1 5 Updated Jul 19, 2018
  • HTML 1 MIT Updated Jul 19, 2018
  • A repository for common configuration scripts

    Vim script Updated Jul 18, 2018
  • A workshop on microbiome analysis using Bioconductor

    HTML 7 4 CC-BY-SA-4.0 Updated Jul 17, 2018
  • Curated and processed metagenomic data through ExperimentHub

    Shell 30 6 Artistic-2.0 3 issues need help Updated Jul 13, 2018
  • Curation for curatedMetagenomicData

    Python 3 4 2 issues need help Updated Jul 11, 2018
  • Curated Data From The Cancer Genome Atlas (TCGA) as MultiAssayExperiment Objects

    R 17 3 Updated Jul 9, 2018
  • Identify and correct invalid gene symbols

    R Updated Jul 5, 2018
  • Bioconductor package for management of multi-assay data

    R 35 27 Updated Jul 2, 2018
  • Materials presented at the BiocNYC meet-up

    HTML 2 2 Updated Jun 25, 2018
  • A repository for public presentations

    TeX 1 4 CC0-1.0 Updated Jun 11, 2018
  • An interactive online reading of McElreath's Statistical Rethinking

    Rebol 35 10 Updated Jun 10, 2018
  • Applied Statistics for High-Throughput Biology

    Jupyter Notebook 3 10 MIT Updated Jun 6, 2018
  • Shell 2 Updated Jun 1, 2018
  • Updated May 27, 2018
  • R Artistic-2.0 Updated May 21, 2018
  • 16S rRNA Sequencing Data from the Human Microbiome Project

    R 2 1 Artistic-2.0 Updated May 21, 2018
  • Reproducible GSEA Benchmarking

    R 1 Artistic-2.0 Updated May 4, 2018
  • R 5 4 Updated Apr 19, 2018
  • R 1 2 Updated Mar 30, 2018
  • teaching materials for short course

    Jupyter Notebook 2 Updated Feb 17, 2018
  • Complete scraping of NCBI Taxonomy in R

    R MIT Updated Jan 30, 2018
  • R 3 Updated Jan 5, 2018
  • An interactive online reading of Matsui and Peng's The Art of Data Science

    13 8 Updated Dec 14, 2017
  • A shiny tool for exploring MultiAssayExperiment methods

    R 1 MIT Updated Dec 8, 2017
  • A workshop on multi-omics data representation and analysis with MultiAssayExperiment

    R 1 1 CC-BY-SA-4.0 Updated Nov 16, 2017
  • The curatedOvarianData package provides data for gene expression analysis in patients with ovarian cancer

    R 4 Updated Sep 5, 2017
  • Functional enrichment analysis of high-throughput omics data

    4 4 Artistic-2.0 Updated Jul 29, 2017
  • Programs and presentations for our statistical methods book club.

    R 11 Updated Jun 20, 2017
  • 0

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