|A gene-disease-based machine learning approach to identify prostate cancer biomarkers||Osama Hamzeh (Univeristy of Windsor); Luis Rueda (University of Windsor)|
|Pangenome-Wide Association Studies with Frequented Regions||Buwani Manuweera (Montana State University); Joann Mudge (National Center for Genome Resources); Indika Kahanda (Montana State University); Brendan Mumey (Computer Science, Montana State University)Thiruvarangan Ramaraj (National Center for Genome Resources)Alan Cleary (National Center for Genome Resources)|
|Machine Learning Approach for Predicting Metastatic Sites of Prostate Cancer||Tarik El Amsy (Al Ain University of Science and Technology)|
|Auto-ASD-Network: A technique based on Deep Learning and Support Vector Machines for diagnosing Autism Spectrum Disorder using fMRI data||Taban Eslami(Western Michigan University);Fahad Saeed(Florida International University)|
|break||Coffee break and networking|
|An integrated approach for efficient multi-omics joint analysis||Massimiliano Tagliamonte (University of Florida); Sheldon Waugh (Army Public Health Center); Mattia Prosperi (University of Florida) and Volker Mai (University of Florida)|
|A Network-Based Machine Learning Approach for Identifying Bio-markers of Breast Cancer Survivability||Huy Pham (University of Dalat); Jurko Guba (University of Windsor); Mousa Gawanmeh (University of Windsor); Lisa Porter (University of Windsor); Alioune Ngom (University of Windsor)|
|A Deep Learning Model to Identify a Genomic Signature Driving Sporadic Colorectal Cancer in Young Adults||Abed Alkhateeb (University of Windsor); Nazia Fatima (University of Windsor); Luis Rueda (University of Windsor); Govindaraja Atikukke (ITOS Oncology); Sabeena Misra (Windsor Regional Hospital)|
Submitted manuscripts should not exceed 10 pages in ACM "sigconf" template on 8.5 x 11 inch paper. The accepted papers must show novel approach or application in integrating multi-omics data. We will invite our collaborators and colleagues in the field to review the papers based on clear rubric, where each paper will be evaluated by 3-5 reviewers. The reviewer will use the rubric to evaluate the work. However, to respect the academic freedom, special cases with a clarification from the reviewer will be considered for the final decisions.To submit a paper please click on the following link: https://easychair.org/conferences/?conf=modiacmbcb2019
Abed Alkhateeb is a Postdoctoral Fellow in the School of Computer Science at the University of Windsor, Canada. Abed's research interests are in machine learning models for computational biology, including next-generation sequencing analysis, machine learning approaches for cancer analysis, and deep learning for pharmacogenomics. He has more than 20 publications and conferences in the fields of bioinformatics and machine learning.Abed Alkhateeb, Ph.D.
Luis Rueda is a Full Professor in the School of Computer Science at the University of Windsor, Canada. His research interests are mainly focused on theoretical and applied machine learning and pattern re
cognition, mostly in the fields of multi-omics, data integration, transcriptomics, interactomics and genomics with applications to cancer research. He holds three patents on data encryption and has published more than 150 papers in prestigious journals and conferences in machine learning and bioinformatics. He is a Senior Member of the IEEE, and Member of ISCB, IAPR and ACM.