Code for: Machine learning reveals genes impacting oxidative stress resistance across yeasts

This repository contains the scripts necessary to run the machine learning model from the Nature Communications paper 'Machine learning reveals genes impacting oxidative stress resistance across yeasts'.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-17
DOI
https://doi.org/10.5281/zenodo.15243119
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Code for: Machine learning reveals genes impacting oxidative stress resistance across yeasts

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Bioinformatics and Genomic Networks
0.81
article

Code for: Machine learning reveals genes impacting oxidative stress resistance across yeasts

article en
1 citations

Abstract

This repository contains the scripts necessary to run the machine learning model from the Nature Communications paper 'Machine learning reveals genes impacting oxidative stress resistance across yeasts'.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 21%
Bioinformatics and Genomic Networks
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.