Published October 30, 2018
| Version v1.0
Software
Open
marislab/pdx-classification: Reproducible Machine Learning Classifier Analysis
Authors/Creators
- 1. University of Pennsylvania
- 2. Children's Hospital of Philadelphia
Description
Release Version 1.0
2018 Gregory Way, Jo Lynne Harenza, John Maris
This release includes a complete reproducible analysis pipeline for the application of supervised machine learning classifiers to detect Ras activation, NF1 inactivation, and TP53 inactivation in pediatric PDX RNAseq data.
The classifiers were originally trained on TCGA PanCanAtlas data (as described in Way et al. 2018 and Knijnenburg et al. 2018).
Files
marislab/pdx-classification-v1.0.zip
Files
(1.4 MB)
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md5:ab426c9125793e31a20e252b7cf9ee8d
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Additional details
Related works
- Cites
- 10.1016/j.celrep.2018.03.046 (DOI)
- 10.1016/j.celrep.2018.03.076 (DOI)
- Is supplement to
- https://github.com/marislab/pdx-classification/tree/v1.0 (URL)