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EPInformer Reproducible
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EPInformer Reproducible

huggingface.co·Infrastructure

EPInformer Reproducible is a pipeline available on Hugging Face designed for applications in biology and genomics, specifically focusing on gene expression and enhancer prediction. The tool provides pretrained checkpoints for a reproducible pipeline that is based on raw ENCODE data and operates across six cell lines: K562, GM12878, H1, HepG2, HUVEC, and NHEK. This platform addresses the need for reproducible modeling in regulatory genomics by offering models that can predict enhancer activity and gene expression from DNA sequence data.

1 + sqrt(H3K27ac·DNase)) activity from DNA sequence, and EPInformer_v2, a gene-expression model for RNA and CAGE data that utilizes the frozen encoder from the enhancer predictor as its sequence backbone. Performance results are reported for both enhancer encoding and gene expression prediction, using a 12-fold leave-chromosome-out approach and pooled Pearson R metrics across the supported cell lines.

EPInformer Reproducible is implemented in PyTorch and is distributed under the MIT License, making it open source. It is intended for researchers and practitioners in regulatory genomics and related fields who require reproducible pipelines and pretrained models for enhancer and gene expression prediction. The tool is delivered as a set of files and code hosted on Hugging Face, with access to model checkpoints and source code for further use or adaptation.

Open Source
WebCLI
E
EPInformer Reproducible preview
Visit huggingface.co↗
⭐57
stars
🍴12
forks
✓4
features
📅2026
since

Overview

4 features

EPInformer Reproducible sits in PulseGate's Other AI category. It focuses on providing a reproducible pipeline and pretrained models for enhancer and gene expression prediction in genomics research. It is built as an open-source project for genomics researchers. EPInformer Reproducible is open source under the Open Source license. It runs on the web and the command line.

Behind EPInformer Reproducible is JiecongLin, and the product first shipped in 2026. Development happens publicly on GitHub with 57 stars and 1 commits in the last 90 days. Key capabilities include genomics prediction, gene expression modeling, and pretrained checkpoints.

  • ✓Genomics prediction
  • ✓Gene expression modeling
  • ✓Pretrained checkpoints
  • ✓Reproducible pipeline

Tags

genomics-modelgene-expressionepinformers

AI capabilities

Weights: Open

Built with & integrations

Hosting
aws
Runs on
BrowserCLI

Trust & compliance

LicenseOpen Source
Verified signals
✓ HTTPS✓ Privacy Policy✓ Terms of Service✓ Open Source✓ Free tier✓ GitHub · ★ 57✓ Active maintenance
Legal
Privacy Policy →Terms of Service →

Recent events

Latest indexed changes and source events

  1. IndexedJul 14, 8:49 AM

    JiecongLin/EPInformer-reproducible verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about EPInformer Reproducible

What does EPInformer Reproducible do?
EPInformer Reproducible focuses on providing a reproducible pipeline and pretrained models for enhancer and gene expression prediction in genomics research. It is catalogued under Other AI on PulseGate.
Who is EPInformer Reproducible for?
EPInformer Reproducible is an open-source project built for genomics researchers.
Is EPInformer Reproducible free?
Yes — EPInformer Reproducible is open source under the Open Source license and free to use.
What platforms does EPInformer Reproducible run on?
EPInformer Reproducible runs on the web and the command line.
Is EPInformer Reproducible still maintained?
PulseGate's automated liveness checks currently classify EPInformer Reproducible as active. The GitHub repository shows 1 commits in the last 90 days.
What are alternatives to EPInformer Reproducible?
Similar tools tracked by PulseGate include verdikt, Vondy, and Free AI Coding Skills for Rails.verdiktVondyFree AI Coding Skills for Rails
Who makes EPInformer Reproducible?
EPInformer Reproducible is developed by JiecongLin.
When did EPInformer Reproducible launch?
EPInformer Reproducible first shipped in 2026.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
Open source
Yes · ★ 57
License
Open Source
First seen
Jul 14, 2026
Activity
🟢 Active
Status
🟢 Active
Built for
genomics researchers
Model
Open source
Solves
Providing a reproducible pipeline and pretrained models for enhancer and gene expression prediction in genomics research.

Developer

JiecongLin
Solo developer
↗ GitHub

Open source

View on GitHub →
⭐ Stars
57
🍴 Forks
12
Open issues
2
Last commit
1d ago
Commits 90d
1
Contributors
1
Authorship
Solo
Default branch
reproducible_pipeline
Latest release
v0.1.1 · 10mo ago

Live coverage

Confidence
Medium · 70
Indexed
Jul 14, 2026
Lifecycle
Alive
Activity
Active
First seen
Jul 2026
Last seen
1d ago
Identity audit (9)
Entity ID
cmrkeusb70goejcp3gtjcllfl
Slug
jieconglin-epinformer-reproducible-huggingface-co
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 14, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 14, 2026
Canonical URL
https://huggingface.co/JiecongLin/EPInformer-reproducible

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