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Title:

Evaluation of input data modality choices on functional gene embeddings.

Document type:
Journal Article
Author(s):
Brechtmann, Felix; Bechtler, Thibault; Londhe, Shubhankar; Mertes, Christian; Gagneur, Julien
Abstract:
Functional gene embeddings, numerical vectors capturing gene function, provide a promising way to integrate functional gene information into machine learning models. These embeddings are learnt by applying self-supervised machine-learning algorithms on various data types including quantitative omics measurements, protein-protein interaction networks and literature. However, downstream evaluations comparing alternative data modalities used to construct functional gene embeddings have been lacking...     »
Journal title abbreviation:
NAR Genom Bioinform
Year:
2023
Journal volume:
5
Journal issue:
4
Fulltext / DOI:
doi:10.1093/nargab/lqad095
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37942285
TUM Institution:
Institut für Humangenetik (Prof. Winkelmann)
 BibTeX