Yasser El-Manzalawy

According to our database, Yasser El-Manzalawy authored at least 18 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality.

Yasser El-Manzalawy, Mostafa M. Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall, Brandon K. Fornwalt

BMC Medical Informatics Decis. Mak., 2021

A PheWAS Model of Autism Spectrum Disorder.

John Matta, Daniel Dobrino, Swade Howard, Dacosta Yeboah, Jonathan Kopel, Yasser El-Manzalawy, Tayo Obafemi-Ajayi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Workshop on Microbiomics, Metagenomics, and Metabolomics.

Soha Hassoun, Yasser El-Manzalawy, Georg Gerber, David Koslicki, Gail Rosen

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Compositional Stochastic Average Gradient for Machine Learning and Related Applications.

Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

CCA based multi-view feature selection for multi-omics data integration.

Yasser El-Manzalawy

Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2018

Toward personalized sleep-wake prediction from actigraphy.

Aria Khademi, Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection.

Mostafa M. Abbas, Thanh Le, Halima Bensmail, Vasant G. Honavar, Yasser El-Manzalawy

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering.

Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Predictive and Comparative Network Analysis of the Gut Microbiota in Type 2 Diabetes.

Mostafa M. Abbas, Yasser El-Manzalawy

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2012

Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.

Rasna R. Walia, Cornelia Caragea, Benjamin A. Lewis, Fadi Towfic, Michael Terribilini, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar

BMC Bioinform., 2012

Predicting protein-protein interface residues using local surface structural similarity.

Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar

BMC Bioinform., 2012

Predicting protective bacterial antigens using random forest classifiers.

Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Predicting MHC-II Binding Affinity Using Multiple Instance Regression.

Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Improving protein-RNA interface prediction by combining sequence homology based method with a naive Bayes classifier: preliminary results.

Li C. Xue, Rasna R. Walia, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar

Proceedings of the ACM International Conference on Bioinformatics, 2011

Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study.

Li C. Xue, Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar

Proceedings of the ACM International Conference on Bioinformatics, 2011

2010

A framework for developing epitope prediction tools.

Yasser El-Manzalawy, Vasant G. Honavar

Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009

MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio.

Yasser El-Manzalawy, Vasant G. Honavar

Proceedings of the Discovery Science, 12th International Conference, 2009

2008

Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information.

Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008