Machine Learning to Identify Molecular Signatures in Amyotrophic Lateral Sclerosis

Scripts required for preprocessing, model training and literature/antibody searching for important features identified for two classification tasks in the Answer ALS cohort metadata, transcriptomics and proteomics. Additionally, supplementary figures and tables from the paper manuscript "Machine Learning to Identify Molecular Signatures in Amyotrophic Lateral Sclerosis" are included here.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-03
DOI
https://doi.org/10.5281/zenodo.15128283
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning to Identify Molecular Signatures in Amyotrophic Lateral Sclerosis

Zenodo (CERN European Organization for Nuclear Research)
Amyotrophic Lateral Sclerosis Research
article

Machine Learning to Identify Molecular Signatures in Amyotrophic Lateral Sclerosis

article en

Abstract

Scripts required for preprocessing, model training and literature/antibody searching for important features identified for two classification tasks in the Answer ALS cohort metadata, transcriptomics and proteomics. Additionally, supplementary figures and tables from the paper manuscript "Machine Learning to Identify Molecular Signatures in Amyotrophic Lateral Sclerosis" are included here.

Zenodo (CERN European Organization for Nuclear Research)
The University of Western Australia (AU)
Quality Education
Openalex Percentile: Top 40%
Amyotrophic Lateral Sclerosis Research
DOIOpen Access PDFOpenAlex
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Machine Learning to Identify Molecular Signatures in Amyotrophic Lateral Sclerosis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS