Title
A machine learning approach for viral genome classification.
Abstract
The performance of CASTOR, its genericity and robustness could permit to perform novel and accurate large scale virus studies. The CASTOR web platform provides an open access, collaborative and reproducible machine learning classifiers. CASTOR can be accessed at http://castor.bioinfo.uqam.ca .
Year
DOI
Venue
2017
10.1186/s12859-017-1602-3
BMC Bioinformatics
Keywords
Field
DocType
Prediction,Sequence classification,Virus classification
Genome,Biology,Artificial intelligence,Computational biology,In silico,Virus classification,Annotation,Restriction fragment length polymorphism,Restriction digest,Bioinformatics,Subtyping,Genetics,Machine learning,DNA microarray
Journal
Volume
Issue
ISSN
18
1
1471-2105
Citations 
PageRank 
References 
3
0.38
20
Authors
6