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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Lingxi, Xu, Jiao, Li, Shuai Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology
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

Internet

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

Ejemplares similares