Computational Biology and Chemistry

  • ooja Jaina, Jonathan M. Garibaldib, Jonathan D. Hirsta
  • Published 2009

Abstract

We explore automation of protein structural classification using supervised machine learning methods on a set of 11,360 pairs of protein domains (up to 35% sequence identity) consisting of three secondary structure elements. Fifteen algorithms from five categories of supervised algorithms are evaluated for their ability to learn for a pair of protein… (More)

Topics

7 Figures and Tables

Cite this paper

@inproceedings{Jaina2009ComputationalBA, title={Computational Biology and Chemistry}, author={ooja Jaina and Jonathan M. Garibaldib and Jonathan D. Hirsta}, year={2009} }