|Full Paper||Diagnosing COVID-19 in X-ray Images Using HOG Image Feature and Artificial Intelligence Classifiers||Faten Kharbat:Al Ain University;Tarik Ekamsy:Al Ain University;Nuha H. Hamada:Al Ain University|
|Full Paper||Convolutional Neural Network Strategy for Skin Cancer lesions Classification and Detections||Abdala Nour:University of Windsor;Boubakeur Boufama:University of Windsor|
|Full Paper||Mining Frequent Dense Subgraphs from Multiple Gene Coexpression Networks Using Post-Processing Summarization||San Ha Seo:North Dakota State University;Saeed Salem:North Dakota State University|
|Full Paper||Link Analysis to Discover Insights from Structured and Unstructured Data on COVID-19||Ying Zhao:Naval Postgraduate School;Charles Zhou:Quantum Intelligence, Inc.|
|Poster||Machine Learning Model to Track SARS-CoV-2 Viral Mutation, Evolution and Speciation Using Next-generation Sequencing Data||Iulian Derecichei:University of Windsor;Govindaraja Atikukke:IToS Oncology|
|Full Paper||Deep Learning Approach for Breast Cancer InClust 5 Prediction based on Multiomics Data Integration||Abedalrhman Alkhateeb:University of Windsor;Li Zhou:University of Windsor;Ashraf Abou Tabl:University of Windsor;Luis Rueda:University of Windsor|
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: Submit
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.