https://github.com/const-ae/linear_perturbation_prediction-paper

https://github.com/const-ae/linear_perturbation_prediction-paper

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: const-ae
  • License: mit
  • Language: HTML
  • Default Branch: main
  • Size: 60.8 MB
Statistics
  • Stars: 23
  • Watchers: 3
  • Forks: 4
  • Open Issues: 2
  • Releases: 3
Created almost 2 years ago · Last pushed 12 months ago
Metadata Files
Readme License

README.md

Code repository for Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines

This repository contains the code to reproduce our analysis from

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines. Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders. Nature Methods 2025; doi: https://doi.org/10.1038/s41592-025-02772-6

A copy of the code is permanently archived at https://doi.org/10.5281/zenodo.14832393.

  • The notebooks folder contains the R scripts used for the analysis and to make the figures
  • The benchmark folder contains the scripts to reproduce the benchmark results
    • The benchmark/src contains individual scripts to run each method
    • The benchmark/conda_environments and benchmark/renv contain the details about the software versions
    • The benchmark/submission contains the script to launch the scripts using my custom workflow manager

Owner

  • Name: Constantin
  • Login: const-ae
  • Kind: user
  • Location: Heidelberg, Germany
  • Company: EMBL

PhD Student, Biostats, R

GitHub Events

Total
  • Create event: 4
  • Release event: 2
  • Issues event: 4
  • Watch event: 34
  • Issue comment event: 5
  • Push event: 7
  • Pull request event: 2
  • Fork event: 7
Last Year
  • Create event: 4
  • Release event: 2
  • Issues event: 4
  • Watch event: 34
  • Issue comment event: 5
  • Push event: 7
  • Pull request event: 2
  • Fork event: 7

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 4
  • Total pull requests: 2
  • Average time to close issues: 2 months
  • Average time to close pull requests: 2 days
  • Total issue authors: 4
  • Total pull request authors: 1
  • Average comments per issue: 1.75
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 2
  • Average time to close issues: 2 months
  • Average time to close pull requests: 2 days
  • Issue authors: 4
  • Pull request authors: 1
  • Average comments per issue: 1.75
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • MUCDK (1)
  • HelloWorldLTY (1)
  • vjcitn (1)
  • ekernf01 (1)
Pull Request Authors
  • ArianAmani (2)
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