Manuscript Title

This manuscript (permalink) was automatically generated from BiocWrites/bioc_bib_chapter_2023@a699c8c on November 2, 2023.

Authors

✉ — Correspondence possible via GitHub Issues or email to Sean Davis <seandavi@gmail.com>.

Abstract

How Bioconductor enhances cancer data reuse and value - workshop exists (Levi)

Multiassay cancer data integration using Bioconductor (MAE + viz, iSEE)

Copy number variation analysis (Workshop, DNAcopy, PureCN, CNVRanger, Sehyun, Ludwig)

Approaches to providing reproducible, reusable, robust software for cancer data science (VC)

Bioconductor approaches to single-cell and spatially resolved cancer data and analysis (Workshops, Ludwig, Davide)

Pharmacogenomics resources in Bioconductor (Ben HK)

bibliometrics as code (MM) – maybe

References