ECTracker - An Efficient Algorithm for Haplotype Analysis and Classification

• Main Authors: Lin, Li, Wong, Limsoon, Tze-Yun LEONG, Lai Pohsan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Datamining; Classification; Hemophilia A; Genetic variations; Haplotypes; Computer Sciences; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/3056; http://www.ncbi.nlm.nih.gov/pubmed/17911919
• Institution: Singapore Management University

This work aims at discovering the genetic variations of hemophilia A patients through examining the combination of molecular haplotypes present in hemophilia A and normal local populations using data mining methods. Data mining methods that are capable of extracting understandable and expressive pat...