Ontology highlight
ABSTRACT:
SUBMITTER: Mukherjee K
PROVIDER: S-EPMC3705624 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
Mukherjee Koel K Abhipriya Vidyarthi Ambarish Saran AS Pandey Dev Mani DM
Bioinformation 20130608 10
Support vector machine is a class of machine learning algorithms which uses a set of related supervised learning methods for classification and regression. Nowadays this method is vividly applied to many detection problems related with secondary structure, tumor cell and binding residue prediction. In this work, support vector machines (SVMs) have been trained on 90 sequences of transcription factors with HTH motif. Four sequence features were used as attribute for the prediction of interaction ...[more]