no code implementations • 4 Apr 2014 • Pokkuluri Kiran Sree, Inampudi Ramesh Babu, SSSN Usha Devi N
This classifier can predict the splicing site with 97% accuracy.
no code implementations • 2 Apr 2014 • Pokkuluri Kiran Sree, Inampudi Ramesh Babu, SSSN Usha Devi N
This paper aims at providing a survey on the problems that can be easily addressed by cellular automata in bioinformatics.
no code implementations • 21 Jan 2014 • Pokkuluri Kiran Sree, Inampudi Ramesh Babu, SSSN Usha Devi N
This tool also predicts the structure of protein with an accuracy of 80%.
no code implementations • 13 Jan 2014 • Pokkuluri Kiran Sree, Inamupudi Ramesh Babu, SSSN Usha Devi N
Our comprehensive design considers 10 feature selection methods and 4 classifiers to develop MACA (Multiple Attractor Cellular Automata) based classifiers that are build for each of the ten classes.