ALS molecular subtypes are a combination of cellular and pathological features learned by deep multiomics classifiers

O’Neill, K., Shaw, R., Bolger, I., Tam, O. H., Phatnani, H., & Gale Hammell, M. (2025). ALS molecular subtypes are a combination of cellular and pathological features learned by deep multiomics classifiers. Cell Reports, 44(3), 115402. https://doi.org/10.1016/j.celrep.2025.115402
Authors:
Kathryn O'Neill
Regina Shaw
Isobel Bolger
Oliver H. Tam
Molly Gale Hammell
Hemali Phatnani
Affiliated Authors:
Hemali Phatnani
Columbia Affiliation:
Author Keywords:
als
als molecular subtypes
cp: genomics
cp: neuroscience
glial biology
machine learning
neurodegenerative disease
single-cell genomics
tdp-43 splicing
transposable elements
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Publication Type:
Article
Unique ID:
10.1016/j.celrep.2025.115402
PMID:
40067829
DOI:
10.1016/j.celrep.2025.115402
Journal:
Cell Reports
Publication Date:
Data Source:
Web of Science
Source Link:
View Web of Science Record
View Scopus Record

Record Created: