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Mona Alshahrani
Mona Alshahrani
National Center for Artificial Intelligence (NCAI), SDAIA, Saudi Arabia
Verified email at kaust.edu.sa
Title
Cited by
Cited by
Year
Neuro-symbolic representation learning on biological knowledge graphs
M Alshahrani, MA Khan, O Maddouri, AR Kinjo, N Queralt-Rosinach, ...
Bioinformatics 33 (17), 2723-2730, 2017
1682017
Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes
M Alshahrani, R Hoehndorf
Bioinformatics 34 (17), i901-i907, 2018
682018
The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants
R Hoehndorf, M Alshahrani, GV Gkoutos, G Gosline, Q Groom, T Hamann, ...
Journal of Biomedical Semantics 7 (1), 1-11, 2016
492016
Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning
MA Thafar, M Alshahrani, S Albaradei, T Gojobori, M Essack, X Gao
Scientific reports 12 (1), 4751, 2022
432022
Application and evaluation of knowledge graph embeddings in biomedical data
M Alshahrani, MA Thafar, M Essack
PeerJ Computer Science 7, e341, 2021
332021
Hybrid Techniques for Diagnosis with WSIs for Early Detection of Cervical Cancer Based on Fusion Features
BA Mohammed, EM Senan, ZG Al-Mekhlafi, M Alazmi, AM Alayba, ...
Applied Sciences 12 (17), 8836, 2022
172022
DANNP: an efficient artificial neural network pruning tool
M Alshahrani, O Soufan, A Magana-Mora, VB Bajic
PeerJ Computer Science 3, e137, 2017
172017
Drug repurposing through joint learning on knowledge graphs and literature
M Alshahrani, R Hoehndorf
Biorxiv, 385617, 2018
122018
Diagnosis of Histopathological Images to Distinguish Types of Malignant Lymphomas Using Hybrid Techniques Based on Fusion Features
ZG Al-Mekhlafi, EM Senan, BA Mohammed, M Alazmi, AM Alayba, ...
Electronics 11 (18), 2865, 2022
112022
Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications
M Alshahrani, A Almansour, A Alkhaldi, MA Thafar, M Uludag, M Essack, ...
PeerJ 10, e13061, 2022
92022
OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features
MA Thafar, S Albaradei, M Uludag, M Alshahrani, T Gojobori, M Essack, ...
Frontiers in Genetics 14, 1139626, 2023
52023
Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine
M AlShahrani
22019
Semantic Disease Gene
M AlShahrani, R Hoehndorf
Bioinformatics, 2018
12018
SPARQL2OWL: Towards Bridging the Semantic Gap Between RDF and OWL.
M Alshahrani, H Almashouq, R Hoehndorf
ICBO/BioCreative, 2016
12016
MahaThafar/Affinity2Vec: Drug-target binding affinity prediction using representation learning, graph mining, and machine learning
MA Thafar, M Alshahrani, S Albaradei, T Gojobori, M Essack, X Gao
Github, 2021
2021
bio-ontology-research-group/multi-drug-embedding: Method for drug repurposing from knowledge graphs and literature
M AlShahrani, R Hoehndorf
Github, 2018
2018
bio-ontology-research-group/SMUDGE: SmuDGE: Semantic Disease Gene Embeddings
M AlShahrani, R Hoehndorf
Github, 2017
2017
Additional file 1 of The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants
R Hoehndorf, M Alshahrani, G Gkoutos, G Gosline, Q Groom, T Hamann, ...
2016
bio-ontology-research-group/walking-rdf-and-owl: Feature learning over RDF data and OWL ontologies
M AlShahrani, O Maddouri, AR Kinjo, N Queralt-Rosinach, R Hoehndorf, ...
Github, 2016
2016
Supplementary Material for: The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants
R Hoehndorf, M Alshahrani, G Gkoutos, G Gosline, Q Groom, T Hamann, ...
Figshare, 2016
2016
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Articles 1–20