This project aims to predict RNA-binding intensities for RNA Binding Proteins (RBPs) using deep learning models on high-throughput RNA sequence data (HTR-SELEX). The models optimize performance by predicting binding intensities and correlating them with real values using Pearson correlation. It builds upon methods like DeepSELEX and includes novel
active 2024-06-26 → 2024-10-29 (UTC)
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Line chart, 126 days from 2024-06-26 to 2024-10-29. Pushes: 7 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Haimzis | 5 | 5 | 0 | 0 |
| OriBraverman | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.