Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer.
Physiol Genomics
; 46(19): 699-724, 2014 Oct 01.
Article
in En
| MEDLINE
| ID: mdl-25096367
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Signal Transduction
/
Gene Expression Regulation, Neoplastic
/
Computational Biology
/
Epithelial-Mesenchymal Transition
/
Lung Neoplasms
/
Models, Biological
Type of study:
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Physiol Genomics
Journal subject:
BIOLOGIA MOLECULAR
Year:
2014
Document type:
Article
Country of publication: