Maha A. Thafar

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Somayah AlbaradeiPhDPatvirtintas el. paštas kaust.edu.sa
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterPatvirtintas el. paštas kaust.edu.sa
Takashi GojoboriKAUSTPatvirtintas el. paštas kaust.edu.sa
Mahmut UludagSoftware Developer, King Abdullah University of Science and TechnologyPatvirtintas el. paštas kaust.edu.sa
Mona AlshahraniNational Center for Artificial Intelligence (NCAI), SDAIA, Saudi ArabiaPatvirtintas el. paštas kaust.edu.sa
Rawan OlayanBioinformatics Scientist at Harvard UniversityPatvirtintas el. paštas kaust.edu.sa
Haitham AshoorPrincipal Scientist at TakedaPatvirtintas el. paštas kaust.edu.sa
Dr. Arwa RaiesSenior Data Scientist at Center for Genomics Research (CGR) at AstraZenecaPatvirtintas el. paštas astrazeneca.com
Christophe Van NesteBiodiversity Informatician, Meise Botanical GardenPatvirtintas el. paštas plantentuinmeise.be
Francesco NapolitanoUniversity of Sannio, BeneventoPatvirtintas el. paštas unisannio.it
Dong-Jun YuNanjing University of Science and TechnologyPatvirtintas el. paštas njust.edu.cn
Robert HoehndorfKing Abdullah University of Science and TechnologyPatvirtintas el. paštas kaust.edu.sa
Dr.Muhammad ArifResearch Fellow at College of Science and Engineering, Hamad Bin Khalifa University, Doha, QatarPatvirtintas el. paštas hbku.edu.qa
Mehdi GhayoumiAssistant Professor, State University of New YorkPatvirtintas el. paštas canton.edu
Hind AlamroPh.D Student. Computer Science , KAUSTPatvirtintas el. paštas kaust.edu.sa
Apilak WorachartcheewanFaculty of Medical Technology, Mahidol UniversityPatvirtintas el. paštas mahidol.edu
Arvind BansalProfessor of Computer Science, Kent State UniversityPatvirtintas el. paštas cs.kent.edu
Chen LiLab Head, ARC Future Fellow, Monash UniversityPatvirtintas el. paštas monash.edu
Fuyi LiSAiGENCI, The University of AdelaidePatvirtintas el. paštas adelaide.edu.au
Jiangning (John) SongProfessor, Monash Biomedicine Discovery Institute, Monash UniversityPatvirtintas el. paštas monash.edu

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Maha A. Thafar

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

Patvirtintas el. paštas kaust.edu.sa - Pagrindinis puslapis

AI Machine Learning Data Mining Cheminformatics Bioinformatics.


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	128	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	111	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	63	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	57	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	45	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	39	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	29	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	22*	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
Identification of the ubiquitin–proteasome pathway domain by hyperparameter optimization based on a 2D convolutional neural network R Sikander, M Arif, A Ghulam, A Worachartcheewan, MA Thafar, S Habib Frontiers in Genetics 13, 851688, 2022	9	2022

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