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 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohamed Amine Remita | 1 | 3 | 0.38 |
Ahmed Halioui | 2 | 4 | 1.46 |
Abou Abdallah Malick Diouara | 3 | 3 | 0.38 |
Bruno Daigle | 4 | 3 | 0.38 |
Golrokh Kiani | 5 | 3 | 0.38 |
Abdoulaye Baniré Diallo | 6 | 40 | 9.37 |