Top-k utility-based gene regulation sequential pattern discovery

Morteza Zihayat, Heidar Davoudi, Aijun An
January 2016

Abstract

This paper presents methods for discovering top-k utility-based gene regulation sequential patterns, contributing to understanding biological regulatory networks.

Type
Conference paper
Publication
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

This work applies top-k utility-based sequential pattern mining to discover significant patterns in gene regulation networks.

Bioinformatics Gene Regulation Sequential Pattern Mining Top-K Patterns
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.