Identification of differentially expressed genes associated with lung adenocarcinoma via bioinformatics analysis.
Gen Physiol Biophys
; 40(1): 31-48, 2021 Jan.
Article
in En
| MEDLINE
| ID: mdl-33655889
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Adenocarcinoma of Lung
/
Lung Neoplasms
Type of study:
Diagnostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Gen Physiol Biophys
Year:
2021
Type:
Article
Affiliation country:
China