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ORCIDYasser El-Manzalawy
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2020 – today
- 2021
[j4]Yasser El-Manzalawy
, Mostafa M. Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall, Brandon K. Fornwalt:
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality. BMC Medical Informatics Decis. Mak. 21(1): 156 (2021)- [c14]John Matta, Daniel Dobrino, Swade Howard, Dacosta Yeboah, Jonathan Kopel, Yasser El-Manzalawy, Tayo Obafemi-Ajayi:
A PheWAS Model of Autism Spectrum Disorder. EMBC 2021: 2110-2114
2010 – 2019
- 2019
- [c13]Soha Hassoun, Yasser El-Manzalawy, Georg Gerber, David Koslicki, Gail Rosen:
Workshop on Microbiomics, Metagenomics, and Metabolomics. BCB 2019: 618 - 2018
- [c12]Mostafa M. Abbas, Thanh Le, Halima Bensmail, Vasant G. Honavar, Yasser El-Manzalawy:
Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection. BCB 2018: 172-177 - [c11]Aria Khademi, Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar:
Toward personalized sleep-wake prediction from actigraphy. BHI 2018: 414-417 - [c10]Yasser El-Manzalawy:
CCA based multi-view feature selection for multi-omics data integration. CIBCB 2018: 1-8 - [c9]Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar:
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. IDEAL (1) 2018: 740-752 - [i1]Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar:
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. CoRR abs/1809.01225 (2018) - 2017
- [c8]Mostafa M. Abbas, Yasser El-Manzalawy:
Predictive and Comparative Network Analysis of the Gut Microbiota in Type 2 Diabetes. BCB 2017: 313-320 - [c7]Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar:
Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering. BIBM 2017: 718-723 - 2012
- [j3]Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar:
Predicting protein-protein interface residues using local surface structural similarity. BMC Bioinform. 13: 41 (2012) - [j2]Rasna R. Walia, Cornelia Caragea, Benjamin A. Lewis, Fadi Towfic, Michael Terribilini, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar:
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art. BMC Bioinform. 13: 89 (2012) - [c6]Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar:
Predicting protective bacterial antigens using random forest classifiers. BCB 2012: 426-433 - 2011
- [j1]Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar:
Predicting MHC-II Binding Affinity Using Multiple Instance Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 8(4): 1067-1079 (2011) - [c5]Li C. Xue, Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar:
Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study. BCB 2011: 441-445 - [c4]Li C. Xue, Rasna R. Walia, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar:
Improving protein-RNA interface prediction by combining sequence homology based method with a naive Bayes classifier: preliminary results. BCB 2011: 556-558 - 2010
- [c3]Yasser El-Manzalawy, Vasant G. Honavar:
A framework for developing epitope prediction tools. BCB 2010: 660-662
2000 – 2009
- 2009
- [c2]Yasser El-Manzalawy, Vasant G. Honavar:
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio. Discovery Science 2009: 80-91 - 2008
- [c1]Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar:
Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information. BIBM 2008: 289-292
Coauthor Index
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