Soha Hassoun

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

High Resolution Mass Spectrometry

Machine Learning

Top Venues

Bioinformatics (Oxford, England)

NPJ systems biology and applications

Microbial cell factories

This page only lists publications with an associated author ORCID identifier.

Publications

Francesco Balzerani, Telmo Blasco, Sergio Pérez-Burillo, Luis Vitores Valcárcel, Soha Hassoun, Francisco J Planes
Extending PROXIMAL to predict degradation pathways of phenolic compounds in the human gut microbiota. NPJ systems biology and applications 10 (1) (2024)
Xinmeng Li, Yan Zhou Chen, Apurva Kalia, Hao Zhu, Li-Ping Liu, Soha Hassoun
An Ensemble Spectral Prediction (ESP) model for metabolite annotation. Bioinformatics (Oxford, England) 40 (8) (2024)
Francesco Balzerani, Telmo Blasco, Sergio Pérez-Burillo, Luis Vitores Valcárcel, Soha Hassoun, Francisco J Planes
Extending PROXIMAL to predict degradation pathways of phenolic compounds in the human gut microbiota. NPJ systems biology and applications 10 (1) (2024)
Francesco Balzerani, Telmo Blasco, Sergio Pérez-Burillo, Luis Vitores Valcárcel, Soha Hassoun, Francisco J Planes
Extending PROXIMAL to predict degradation pathways of phenolic compounds in the human gut microbiota. NPJ systems biology and applications 10 (1) (2024)
Xinmeng Li, Yan Zhou Chen, Apurva Kalia, Hao Zhu, Li-Ping Liu, Soha Hassoun
An Ensemble Spectral Prediction (ESP) model for metabolite annotation. Bioinformatics (Oxford, England) 40 (8) (2024)
Xinmeng Li, Yan Zhou Chen, Apurva Kalia, Hao Zhu, Li-Ping Liu, Soha Hassoun
An Ensemble Spectral Prediction (ESP) model for metabolite annotation. Bioinformatics (Oxford, England) 40 (8) (2024)
Xinmeng Li, Yan Zhou Chen, Apurva Kalia, Hao Zhu, Li-Ping Liu, Soha Hassoun
An Ensemble Spectral Prediction (ESP) model for metabolite annotation. Bioinformatics (Oxford, England) 40 (8) (2024)
Vladimir Porokhin, Li-Ping Liu, Soha Hassoun
Using graph neural networks for site-of-metabolism prediction and its applications to ranking promiscuous enzymatic products. Bioinformatics (Oxford, England) 39 (3) (2023)
Vladimir Porokhin, Li-Ping Liu, Soha Hassoun
Using graph neural networks for site-of-metabolism prediction and its applications to ranking promiscuous enzymatic products. Bioinformatics (Oxford, England) 39 (3) (2023)
Xinmeng Li, Li-Ping Liu, Soha Hassoun
Boost-RS: boosted embeddings for recommender systems and its application to enzyme-substrate interaction prediction. Bioinformatics (Oxford, England) 38 (10) (2022)
Ramtin Hosseini, Neda Hassanpour, Li-Ping Liu, Soha Hassoun
Pathway-Activity Likelihood Analysis and Metabolite Annotation for Untargeted Metabolomics Using Probabilistic Modeling. Metabolites 10 (5) (2020)
Neda Hassanpour, Nicholas Alden, Rani Menon, Arul Jayaraman, Kyongbum Lee, Soha Hassoun
Biological Filtering and Substrate Promiscuity Prediction for Annotating Untargeted Metabolomics. Metabolites 10 (4) (2020)
Xinmeng Li, James A Van Deventer, Soha Hassoun
ASAP-SML: An antibody sequence analysis pipeline using statistical testing and machine learning. PLoS computational biology 16 (4) (2020)
Sara A Amin, Elizabeth Chavez, Vladimir Porokhin, Nikhil U Nair, Soha Hassoun
Towards creating an extended metabolic model (EMM) for E. coli using enzyme promiscuity prediction and metabolomics data. Microbial cell factories 18 (1) (2019)
Sara A Amin, Venkatesh Endalur Gopinarayanan, Nikhil U Nair, Soha Hassoun
Establishing synthesis pathway-host compatibility via enzyme solubility. Biotechnology and bioengineering 116 (6) (2019)