VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques.
J Biosci
; 452020.
Article
in En
| MEDLINE
| ID: mdl-32975233
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Plant Proteins
/
Vacuoles
/
Software
/
Proteome
/
Viridiplantae
/
Support Vector Machine
Type of study:
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
J Biosci
Year:
2020
Document type:
Article
Affiliation country:
India