Ahmed A. Metwally

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Machine Learning

Multiple Sclerosis

Community Detection

Top Venues

Publications

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 (2024)
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) (2022)
Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder
Learning Personal Food Preferences via Food Logs Embedding. CoRR (2021)
Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder
Learning Personal Food Preferences via Food Logs Embedding. BIBM (2021)
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)
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) (2020)
Asem Alaa, Ayman M. Eldeib, Ahmed A. Metwally
Protein Subcellular Localization Prediction Based on Internal Micro-similarities of Markov Chains. EMBC (2019)
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)
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)
Hani Aldirawi, Jie Yang, Ahmed A. Metwally
Identifying Appropriate Probabilistic Models for Sparse Discrete Omics Data. BHI (2019)
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 (2018)
Asem Alaa, Ahmed A. Metwally
Cloud-based solution for improving usability and interactivity of metagenomic ensemble taxonomic classification methods. BHI (2018)
Ahmed A. Metwally, Hani Aldirawi, Jie Yang
A review on probabilistic models used in microbiome studies. Commun. Inf. Syst. 18 (3) (2018)
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)