Hasil Pencarian - Maha A. Thafar

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  1. 1
    Application and evaluation of knowledge graph embeddings in biomedical data

    Application and evaluation of knowledge graph embeddings in biomedical data oleh Mona Alshahrani, Maha A. Thafar, Magbubah Essack

    Diterbitkan 2021-02-01
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  2. 2
    Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models

    Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models oleh Somayah Albaradei, Somayah Albaradei, Mahmut Uludag, Maha A. Thafar, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao

    Diterbitkan 2021-11-01
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  3. 3
    FutureCite: Predicting Research Articles’ Impact Using Machine Learning and Text and Graph Mining Techniques

    FutureCite: Predicting Research Articles’ Impact Using Machine Learning and Text and Graph Mining Techniques oleh Maha A. Thafar, Mashael M. Alsulami, Somayah Albaradei

    Diterbitkan 2024-07-01
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  4. 4
    OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features

    OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features oleh Maha A. Thafar, Maha A. Thafar, Somayah Albaradei, Somayah Albaradei, Mahmut Uludag, Mona Alshahrani, Takashi Gojobori, Magbubah Essack, Xin Gao

    Diterbitkan 2023-04-01
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  5. 5
    MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data

    MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data oleh Somayah Albaradei, Somayah Albaradei, Abdurhman Albaradei, Asim Alsaedi, Asim Alsaedi, Mahmut Uludag, Maha A. Thafar, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao

    Diterbitkan 2022-07-01
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  6. 6
    MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data

    MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data oleh Somayah Albaradei, Francesco Napolitano, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao

    Diterbitkan 2021-01-01
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  7. 7
    Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets

    Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets oleh Hind Alamro, Maha A. Thafar, Somayah Albaradei, Takashi Gojobori, Magbubah Essack, Xin Gao

    Diterbitkan 2023-03-01
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  8. 8
    Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning

    Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning oleh Maha A. Thafar, Mona Alshahrani, Somayah Albaradei, Takashi Gojobori, Magbubah Essack, Xin Gao

    Diterbitkan 2022-03-01
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  9. 9
    Identification of the ubiquitin–proteasome pathway domain by hyperparameter optimization based on a 2D convolutional neural network

    Identification of the ubiquitin–proteasome pathway domain by hyperparameter optimization based on a 2D convolutional neural network oleh Rahu Sikander, Muhammad Arif, Ali Ghulam, Apilak Worachartcheewan, Maha A. Thafar, Shabana Habib

    Diterbitkan 2022-07-01
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  10. 10
    Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications

    Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications oleh Mona Alshahrani, Abdullah Almansour, Asma Alkhaldi, Maha A. Thafar, Mahmut Uludag, Magbubah Essack, Robert Hoehndorf

    Diterbitkan 2022-04-01
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  11. 11
    DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning

    DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning oleh Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao

    Diterbitkan 2021-09-01
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  12. 12
    DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

    DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques oleh Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajic, Xin Gao, Takashi Gojobori, Magbubah Essack

    Diterbitkan 2020-06-01
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  13. 13
    A deep learning model predicts the presence of diverse cancer types using circulating tumor cells

    A deep learning model predicts the presence of diverse cancer types using circulating tumor cells oleh Somayah Albaradei, Nofe Alganmi, Abdulrahman Albaradie, Eaman Alharbi, Olaa Motwalli, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao

    Diterbitkan 2023-11-01
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