Mining significant high utility gene regulation sequential patterns
Abstract
This paper presents methods for mining significant high utility gene regulation sequential patterns, contributing to understanding biological regulatory networks.
Type
Publication
BMC Systems Biology
This work applies high utility sequential pattern mining techniques to discover significant patterns in gene regulation networks.
Morteza Zihayat
Principal Investigator
Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.