Stebėti
Somayah Albaradei
Somayah Albaradei
PhD
Patvirtintas el. paštas kaust.edu.sa - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Comparison study of computational prediction tools for drug-target binding affinities
M Thafar, AB Raies, S Albaradei, M Essack, VB Bajic
Frontiers in chemistry 7, 782, 2019
992019
DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques
MA Thafar, RS Olayan, H Ashoor, S Albaradei, VB Bajic, X Gao, ...
Journal of Cheminformatics 12, 1-17, 2020
962020
Machine learning and deep learning methods that use omics data for metastasis prediction
S Albaradei, M Thafar, A Alsaedi, C Van Neste, T Gojobori, M Essack, ...
Computational and structural biotechnology journal 19, 5008-5018, 2021
792021
Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA
S Albaradei, A Magana-Mora, M Thafar, M Uludag, VB Bajic, T Gojobori, ...
Gene 763, 100035, 2020
482020
DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning
MA Thafar, RS Olayan, S Albaradei, VB Bajic, T Gojobori, M Essack, ...
Journal of cheminformatics 13, 1-18, 2021
392021
SenWave: Monitoring the global sentiments under the COVID-19 pandemic
Q Yang, H Alamro, S Albaradei, A Salhi, X Lv, C Ma, M Alshehri, I Jaber, ...
arXiv preprint arXiv:2006.10842, 2020
392020
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
362022
MetaCancer: a deep learning-based pan-cancer metastasis prediction model developed using multi-omics data
S Albaradei, F Napolitano, MA Thafar, T Gojobori, M Essack, X Gao
Computational and Structural Biotechnology Journal 19, 4404-4411, 2021
262021
Hybrid model for efficient prediction of poly (A) signals in human genomic DNA
F Albalawi, A Chahid, X Guo, S Albaradei, A Magana-Mora, BR Jankovic, ...
Methods 166, 31-39, 2019
232019
Rise and fall of the global conversation and shifting sentiments during the COVID-19 pandemic
X Zhang, Q Yang, S Albaradei, X Lyu, H Alamro, A Salhi, C Ma, ...
Humanities and social sciences communications 8 (1), 1-10, 2021
182021
Learning mid-level features from object hierarchy for image classification
S Albaradei, Y Wang, L Cao, LJ Li
IEEE Winter Conference on Applications of Computer Vision, 235-240, 2014
152014
Predicting bone metastasis using gene expression-based machine learning models
S Albaradei, M Uludag, MA Thafar, T Gojobori, M Essack, X Gao
Frontiers in Genetics 12, 771092, 2021
112021
Automated counting of colony forming units using deep transfer learning from a model for congested scenes analysis
SA Albaradei, F Napolitano, M Uludag, M Thafar, S Napolitano, M Essack, ...
IEEE Access 8, 164340-164346, 2020
112020
Metastatic state of colorectal cancer can be accurately predicted with methylome
S Albaradei, M Thafar, C Van Neste, M Essack, VB Bajic
Proceedings of the 6th International Conference on Bioinformatics Research …, 2019
102019
Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets
H Alamro, MA Thafar, S Albaradei, T Gojobori, M Essack, X Gao
Scientific reports 13 (1), 4979, 2023
92023
Comparison study of computational prediction tools for drug-target binding affinities. Front Chem. 2019; 7: 782
M Thafar, AB Raies, S Albaradei, M Essack, VB Bajic
9
Computational Drug-Target Interaction Prediction Based on Graph Embedding and Graph Mining
VBB Maha A. Thafar, Somayah Albaradei, Rawan Olayan, Haitham Ashoor ...
Proceedings of the 2020 10th International Conference on Bioscience …, 2020
82020
Object classification using a semantic hierarchy
S Albaradei, Y Wang
Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014
72014
Senwave: Monitoring the global sentiments under the COVID-19 pandemic. arXiv 2020
Q Yang, H Alamro, S Albaradei, A Salhi, X Lv, C Ma, M Alshehri, I Jaber, ...
arXiv preprint arXiv:2006.10842, 0
6
MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data
S Albaradei, A Albaradei, A Alsaedi, M Uludag, MA Thafar, T Gojobori, ...
Frontiers in Molecular Biosciences 9, 913602, 2022
42022
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