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TRAPT: A multi-stage fused deep learning framework for transcriptional regulators prediction via integrating large-scale epigenomic data

active 2024-10-022026-01-29 (UTC)

Complete coverage26,397 / 26,397 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
63
Pushes
47
Pull requests
0
Issues
1
Stars
7
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 485 days from 2024-10-02 to 2026-01-29. Pushes: 47 total, peak 9 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 7 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
TOSTRING-Z484701
HippoYI1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#1TOSTRING-Z2025-06-13 03:07
    how to build my own library
  • Issue#1HippoYI2025-06-02 10:41
    how to build my own library
  • ReleaseTOSTRING-Z2025-01-20 03:34
    TRAPT: A multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data
  • ReleaseTOSTRING-Z2025-01-20 03:27
    TRAPT: A multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 7 stars here means stars gained during the window, not the repo's star count.