TY  - GEN
AU  - Deng,Yue
AU  - Bao,Feng
AU  - Dai,Qionghai
AU  - Wu,Lani F
AU  - Altschuler,Steven J
TI  - Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning
SN  - 1548-7105
PY  - 2019///0529
KW  - Algorithms
KW  - Animals
KW  - Brain Mapping
KW  - Cluster Analysis
KW  - Computational Biology
KW  - methods
KW  - Computer Simulation
KW  - Databases, Genetic
KW  - Deep Learning
KW  - Gene Expression Profiling
KW  - Inflammation
KW  - Intestines
KW  - cytology
KW  - Leukocytes, Mononuclear
KW  - Mice
KW  - Phenotype
KW  - Principal Component Analysis
KW  - RNA
KW  - analysis
KW  - Reproducibility of Results
KW  - Retina
KW  - metabolism
KW  - Sequence Analysis, RNA
KW  - Single-Cell Analysis
KW  - Software
KW  - Transcriptome
N1  - Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
UR  - https://doi.org/10.1038/s41592-019-0353-7
ER  -