DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection.
Genome Biol
; 24(1): 212, 2023 09 20.
Article
in En
| MEDLINE
| ID: mdl-37730638
Key words
Auto encoder; Batch effect correction; COVID-19; Cell clustering; Cell type identification; Deep Learning; Expression reconstruction; Imputation; Machine Learning; Probabilistic modeling; RNA sequencing; Reference atlas mapping; Single-cell RNA-seq; T helper cell; Transcription factor analysis; Transfer learning
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Genome Biol
Year:
2023
Document type:
Article