IEEE Young Professionals, Windsor Section presents
“Machine Learning Approaches for Data Analysis”
Abstract: Cancer is the leading cause of death in Canada, responsible for nearly 30% of all deaths, the advances in technology help in analyzing the disease. More recently, Next-generation sequencing technology (NGS) has emerged, decreasing the cost and increasing the speed of genome and transcriptome sequencing. However, sequences come with artifacts, and hence
preprocessing the reads is required for downstream analysis. The analysis can determine which genes and transcripts are relevant for different cases, which can provide some biological insight for each case, leading to improved diagnosing and treatment of different diseases including
cancer based on those transcripts and protein products. On the other hand, machine learning methods have been used to classify different conditions such as survivability and subtypes in breast cancer, and stages and location in prostate cancer.Using supervised learning techniques,
transcript expression profiles as features or biomarkers have be found to be key indicators for different conditions. Similarly, unsupervised methods have been used to group similar trends of profiles throughout different cancer stages. In this talk, how these methods are used to analyze prostate cancer progression throughout different stages will be discussed. The main purpose is to find genes, transcripts that have similar trends, and promoters. Clustering approaches used to find patterns in expressed transcripts among the different cancer stages will also be discussed.
Speaker: Abed Alkhateeb, Ph.D. candidate in Computer Science
Speaker Bio:Abed Alkhateeb is a Ph.D. candidate in the Pattern Recognition and Bioinformatics lab in the School of Computer Science, working under the supervision of Dr. Luis Rueda. He completed his Bachelor in the department of Computer Science at University of Jordan, and his M.Sc. in computer science in the School of Computer Science at the University of Windsor. He has had positions in Blackberry as Business Systems Developer, and before doing his Ph.D.as Analyst/Programmer in Emaratech and UAE University in the United Arab Emirates. Abed’s research interests include machine learning, bioinformatics, health informatics, pharmacogenomics, and RNA sequencing and cancer progression. He has many publications and presentations in most top-ranked conferences in bioinformatics and reputable journals. Abed has recently obtained the Ontario Government Scholarship and the Faculty of Science Going Above and Beyond award, among other awards.
Date: Wednesday June 20th
Location: Room 3003, CEI, University of Windsor
Please register here to book your seats!
Refreshments will be provided.
Please contact Mojtaba Kordestani for more details.