Subclonal mutational load predicts survival and response to immunotherapy in cancers with low to moderate TMB
<p>Here we provide the downloadable links of subclonal reconstruction results by <strong>CliPP</strong>, on both <strong>TCGA</strong> and <strong>PCAWG</strong> datasets. We also provide the source of our in-house simulation data (<strong>CliPPSim4k</strong>), along with a comparison between CliPP and PhyloWGS.</p> <p>For more detailed information about the data, please refer to our paper: <a href="https://www.biorxiv.org/content/10.1101/2024.07.03.601939v1" target="_new" rel="noopener">https://www.biorxiv.org/content/10.1101/2024.07.03.601939v1</a> or visit our web app: <a href="https://bioinformatics.mdanderson.org/apps/CliPP/" target="_new" rel="noopener">https://bioinformatics.mdanderson.org/apps/CliPP/</a></p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0