Maha A. Thafar

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Somayah AlbaradeiPhDEmail yang diverifikasi di kaust.edu.sa
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterEmail yang diverifikasi di kaust.edu.sa
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Mahmut UludagSoftware Developer, King Abdullah University of Science and TechnologyEmail yang diverifikasi di kaust.edu.sa
Mona AlshahraniNational Center for Artificial Intelligence (NCAI), SDAIA, Saudi ArabiaEmail yang diverifikasi di kaust.edu.sa
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Haitham AshoorPrincipal Scientist at TakedaEmail yang diverifikasi di kaust.edu.sa
Dr. Arwa RaiesSenior Data Scientist at Center for Genomics Research (CGR) at AstraZenecaEmail yang diverifikasi di astrazeneca.com
Christophe Van NesteBiodiversity Informatician, Meise Botanical GardenEmail yang diverifikasi di plantentuinmeise.be
Francesco NapolitanoUniversity of Sannio, BeneventoEmail yang diverifikasi di unisannio.it
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Dr.Muhammad ArifResearch Fellow at College of Science and Engineering, Hamad Bin Khalifa University, Doha, QatarEmail yang diverifikasi di hbku.edu.qa
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Mehdi GhayoumiAssistant Professor, State University of New YorkEmail yang diverifikasi di canton.edu
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Apilak WorachartcheewanFaculty of Medical Technology, Mahidol UniversityEmail yang diverifikasi di mahidol.edu
Jun Hu (胡俊)Suzhou Institute Of Systems MedicineEmail yang diverifikasi di ism.cams.cn
Arvind BansalProfessor of Computer Science, Kent State UniversityEmail yang diverifikasi di cs.kent.edu
Chen LiARC Future Fellow, Lab Head, Monash UniversityEmail yang diverifikasi di monash.edu
Fuyi LiSAiGENCI, The University of AdelaideEmail yang diverifikasi di adelaide.edu.au

Ikuti

Maha A. Thafar

Assistant Professor of Computer Science (CS), Taif University (TU), KUAST Alumni

Email yang diverifikasi di kaust.edu.sa - Beranda

AI Machine Learning Data Mining Cheminformatics Bioinformatics.


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Comparison study of computational prediction tools for drug-target binding affinities MA Thafar, AB Raies, S Albaradei, M Essack, VB Bajic Frontiers in chemistry 7, 782, 2019	130	2019
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), 1-17, 2020	125	2020
Machine Learning and Deep Learning Methods that use Omics Data for Metastasis Prediction S Albaradei, MA Thafar, A Alsaedi, C Van Neste, T Gojobori, M Essack, ... Computational and Structural Biotechnology Journal, 2021	113	2021
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	66	2022
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	58	2021
Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA S Albaradei, A Magana-Mora, MA Thafar, M Uludag, VB Bajic, T Gojobori, ... Gene: X, 100035, 2020	54	2020
StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach M Arif, S Ahmed, F Ge, M Kabir, YD Khan, DJ Yu, M Thafar Chemometrics and Intelligent Laboratory Systems 220, 104458, 2022	52	2022
Application and evaluation of knowledge graph embeddings in biomedical data M Alshahrani, MA Thafar, M Essack PeerJ Computer Science 7, e341, 2021	47	2021
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	42	2021
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	30	2023
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	24*	2022
Towards Formal Multimodal Analysis of Emotions for Affective Computing. M Ghayoumi, MA Thafar, AK Bansal DMS, 48-54, 2016	20	2016
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants F Ge, C Li, S Iqbal, A Muhammad, F Li, MA Thafar, Z Yan, ... Briefings in Bioinformatics 24 (1), bbac535, 2023	15	2023
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, 2217, 2021	15	2021
Automated counting of colony forming units using deep transfer learning from a model for congested scenes analysis S Albaradei, F Napolitano, M Uludag, MA Thafar, S Napolitano, M Essack, ... IEEE Access, 2020	13	2020
Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining MA Thafar, S Albaradei, RS Olayan, H Ashoor, M Essack, VB Bajic 10th International Conference on Bioscience, Biochemistry and Bioinformatics …, 2020	12	2020
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	11
Metastatic State of Colorectal Cancer can be Accurately Predicted with Methylome S Albaradei, MA Thafar, C Van Neste, M Essack, VB Bajic Proceedings of the 2019 6th International Conference on Bioinformatics …, 2019	10	2019
A Formal Approach for Multimodal Integration to Derive Emotions M Ghayoumi, MA Thafar, AK Bansal Journal of Visual Languages and Sentient Systems, 48-54, 2016	10	2016
Improving Protein-Protein Interaction Prediction Using Protein Language Model and Protein Network Features J Hu, Z Li, B Rao, MA Thafar, M Arif Analytical Biochemistry, 115550, 2024	9	2024

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