• 16 Citations
  • 3 h-Index
20152019
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Fingerprint Dive into the research topics where Yasser Elmanzalawi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Actigraphy Medicine & Life Sciences
Inflammatory Bowel Diseases Medicine & Life Sciences
Biomarkers Medicine & Life Sciences
Feature extraction Engineering & Materials Science
Sleep Medicine & Life Sciences
Learning systems Engineering & Materials Science
Metagenomics Medicine & Life Sciences
Precision Medicine Medicine & Life Sciences

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Research Output 2015 2019

  • 16 Citations
  • 3 h-Index
  • 6 Conference contribution
  • 4 Article

Biomarker discovery in inflammatory bowel diseases using network-based feature selection

Abbas, M., Matta, J., Le, T., Bensmail, H., Obafemi-Ajayi, T., Honavar, V. & EL-Manzalawy, Y., Jan 1 2019, In : PloS one. 14, 11, e0225382.

Research output: Contribution to journalArticle

Open Access
inflammatory bowel disease
Biomarkers
Inflammatory Bowel Diseases
Feature extraction
biomarkers
1 Citation (Scopus)

CCA based multi-view feature selection for multiomics data integration

Elmanzalawi, Y., Jul 5 2018, 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-8 8 p. 8404968. (2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data integration
Feature extraction
Kidney
Protein Array Analysis
Precision Medicine

Compositional Stochastic Average Gradient for Machine Learning and Related Applications

Hsieh, T. Y., EL-Manzalawy, Y., Sun, Y. & Honavar, V., Jan 1 2018, Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. Yin, H., Novais, P., Camacho, D. & Tallón-Ballesteros, A. J. (eds.). Springer Verlag, p. 740-752 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11314 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Machine Learning
Gradient methods
Gradient
Gradient Descent
3 Citations (Scopus)

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

Abbas, M., Le, T., Bensmail, H., Honavar, V. G. & Elmanzalawi, Y., Aug 15 2018, ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, p. 172-177 6 p. (ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Biomarkers
Inflammatory Bowel Diseases
Feature extraction
Metagenomics
Phenotype
2 Citations (Scopus)
Biological Science Disciplines
Ovarian Neoplasms
Precision Medicine
Atlases
Genome