Signal detection in genome sequences using complexity based features

Mehdi Kargar, Aijun An, Nick Cercone, Kayvan Tirdad, Morteza Zihayat
January 2013

Abstract

This paper presents methods for signal detection in genome sequences using complexity-based features, contributing to bioinformatics and genomic analysis.

Type
Conference paper
Publication
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics

This work applies complexity-based features for detecting signals in genomic sequences.

Bioinformatics Genome Analysis Signal Detection Data Mining
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.