SQUID manuscript workflow with outputs
<p>This repository reproduces the analysis performed in for our method <strong>SQUID</strong> (<strong>S</strong>urrogate <strong>Qu</strong>antitative <strong>I</strong>nterpretability for <strong>D</strong>eepnets; Seitz, McCandlish, Kinney and Koo). It contains tools to apply SQUID on several previously-published genomic models, and compare its results to existing attribution methods.</p><p>The scripts contained in this release are a replica of those found in the current release of our GitHub repository (https://github.com/evanseitz/squid-manuscript as of commit 5b47a7d), with the addition that all intermediate and final outputs are provided here.</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0