Skip to content

TCGA Python Tooling #1

@rbharath

Description

@rbharath

The Cancer Genomics Atlas (https://cancergenomole.nih.gov/) is probably the largest repository of cancer related genomics data. Adding tooling that would enable easy construction of DeepChem style deep-learning models on this data would be very useful.

Omics-pipe (https://bitbucket.org/sulab/omics_pipe) appears to be a python toolkit for interfacing with TCGA data, but doesn't appear to have been updated in the last year.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions