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Ahmed Metwally 0002
Person information
- affiliation: Stanford University, CA, USA
- affiliation (PhD 2019): University of Illinois at Chicago, USA
Other persons with the same name
- Ahmed Metwally 0001 — Uber (and 2 more)
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2020 – today
- 2024
- [i4]A. Ali Heydari, Naghmeh Rezaei, Javier L. Prieto, Shwetak N. Patel, Ahmed A. Metwally:
Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning. CoRR abs/2407.07277 (2024) - 2022
- [j4]Ahmed A. Metwally, Tom Zhang, Si Wu, Ryan Kellogg, Wenyu Zhou, Kévin Contrepois, Hua Tang, Michael Snyder:
Robust identification of temporal biomarkers in longitudinal omics studies. Bioinform. 38(15): 3802-3811 (2022) - 2021
- [c9]Sally Mostafa, Isabel Hyo Jung Song, Ahmed A. Metwally, Nicolas Strauli, Nehemiah Sewde, Michel Friesenhahn, Maxime Usdin, Xiaoming Jia:
Predicting upper limb disability progression in primary progressive multiple sclerosis using machine learning and statistical methods. BIBM 2021: 1453-1457 - [c8]Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder:
Learning Personal Food Preferences via Food Logs Embedding. BIBM 2021: 2281-2286 - [i3]Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder:
Learning Personal Food Preferences via Food Logs Embedding. CoRR abs/2110.15498 (2021) - [i2]Derek Reiman, Ahmed Metwally, Jun Sun, Yang Dai:
Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of features. F1000Research 10: 194 (2021) - 2020
- [j3]Derek Reiman, Ahmed A. Metwally, Jun Sun, Yang Dai:
PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data. IEEE J. Biomed. Health Informatics 24(10): 2993-3001 (2020)
2010 – 2019
- 2019
- [j2]Ahmed A. Metwally, Philip S. Yu, Derek Reiman, Yang Dai, Patricia W. Finn, David L. Perkins:
Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. PLoS Comput. Biol. 15(2) (2019) - [c7]Hani Aldirawi, Jie Yang, Ahmed A. Metwally:
Identifying Appropriate Probabilistic Models for Sparse Discrete Omics Data. BHI 2019: 1-4 - [c6]Mladen R. Rasic, Ahmed A. Metwally, Patricia W. Finn, David L. Perkins:
Taxonomic Classification at the Strain Level using a Species-of-Interest $\boldsymbol{k}$-mer Database. BHI 2019: 1-4 - [c5]Asem Alaa, Ayman M. Eldeib, Ahmed A. Metwally:
Protein Subcellular Localization Prediction Based on Internal Micro-similarities of Markov Chains. EMBC 2019: 1355-1358 - 2018
- [j1]Ahmed A. Metwally, Hani Aldirawi, Jie Yang:
A review on probabilistic models used in microbiome studies. Commun. Inf. Syst. 18(3): 173-191 (2018) - [c4]Asem Alaa, Ahmed A. Metwally:
Cloud-based solution for improving usability and interactivity of metagenomic ensemble taxonomic classification methods. BHI 2018: 198-201 - [i1]Jianguo Chen, Kenli Li, Kashif Bilal, Ahmed A. Metwally, Keqin Li, Philip S. Yu:
Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning. CoRR abs/1811.12160 (2018) - 2017
- [c3]Ahmed A. Metwally, Patricia W. Finn, Yang Dai, David L. Perkins:
Detection of Differential Abundance Intervals in Longitudinal Metagenomic Data Using Negative Binomial Smoothing Spline ANOVA. BCB 2017: 295-304 - [c2]Ahmed Metwally, Christian Ascoli, Kalista Andropolis, Ravi Ranjan, Yang Dai, Thomas Ferkol, Patricia W. Finn, David L. Perkins:
Microbiome Dynamics as Predictors of Lung Transplant Rejection. BCB 2017: 619 - [c1]Derek Reiman, Ahmed Metwally, Yang Dai:
Using convolutional neural networks to explore the microbiome. EMBC 2017: 4269-4272
Coauthor Index
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last updated on 2024-08-17 23:44 CEST by the dblp team
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