TY  - JOUR
AU  - Gundogdu, Pelin
AU  - Loucera, Carlos
AU  - Alamo-Alvarez, Inmaculada
AU  - Dopazo, Joaquin
AU  - Nepomuceno, Isabel
PY  - 2022
DO  - 10.1186/s13040-021-00285-4
SN  - 1756-0381
UR  - http://hdl.handle.net/10668/20345
T2  - BioData mining
AB  - Single-cell RNA sequencing (scRNA-seq) data provide valuable insights into cellular heterogeneity which is significantly improving the current knowledge on biology and human disease. One of the main applications of scRNA-seq data analysis is the...
LA  - en
KW  - Deep neural network
KW  - Gene expression
KW  - Machine learning
KW  - Signaling pathway
KW  - Single cell
KW  - Transcriptomics
KW  - scRNA-seq
TI  - Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data.
TY  - research article
VL  - 15
ER  -