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DeepMF: deciphering the latent patterns in omics profiles with a deep learning method
BACKGROUND: With recent advances in high-throughput technologies, matrix factorization techniques are increasingly being utilized for mapping quantitative omics profiling matrix data into low-dimensional embedding space, in the hope of uncovering insights in the underlying biological processes. Neve...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933662/ https://www.ncbi.nlm.nih.gov/pubmed/31881818 http://dx.doi.org/10.1186/s12859-019-3291-6 |