Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition

MOTIVATION: The recent development of sequencing technologies revolutionized our understanding of the inner workings of the cell as well as the way disease is treated. A single RNA sequencing (RNA-Seq) experiment, however, measures tens of thousands of parameters simultaneously. While the results ar...

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Detalles Bibliográficos
Autores principales: Trofimov, Assya, Cohen, Joseph Paul, Bengio, Yoshua, Perreault, Claude, Lemieux, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Studies of Phenotypes and Clinical Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355243/
https://www.ncbi.nlm.nih.gov/pubmed/32657403
http://dx.doi.org/10.1093/bioinformatics/btaa488

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355243/
https://www.ncbi.nlm.nih.gov/pubmed/32657403
http://dx.doi.org/10.1093/bioinformatics/btaa488

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