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Tools: Bioconductor

and Authors: Martin Morgan

14 materials found
  • Evening session: Efficient R

    Big data
  • Lab 9-1: Efficient and Parallel Evaluation

    Big data
  • Lecture 20-1: Working with Large Data

    Big data
  • Lecture 19: Gene Set Enrichment Analysis

    GSEA
  • Lab 1: Introduction to R and Bioconductor

    introduction
  • Lecture 1: Introduction to R and Bioconductor

    introduction
  • 06: Gene Set Enrichment Analysis

    Intro
  • 05: Bioconductor Annotation Resources

    Intro
  • 06: Gene Set Enrichment -- Introduction

    Intro
  • 04: Practical: Organizing data with SummarizedExperiment

    Intro
  • 1
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.