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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...
Autores principales: | Trofimov, Assya, Cohen, Joseph Paul, Bengio, Yoshua, Perreault, Claude, Lemieux, Sébastien |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
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 |
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