Hasil Pencarian - Faraz Faghri

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  1. 1
    Proteomics and Epidemiological Models of Human Aging

    Proteomics and Epidemiological Models of Human Aging oleh Ceereena Ubaida-Mohien, Ruin Moaddel, Ann Zenobia Moore, Pei-Lun Kuo, Faraz Faghri, Faraz Faghri, Faraz Faghri, Ravi Tharakan, Toshiko Tanaka, Mike A. Nalls, Mike A. Nalls, Mike A. Nalls, Luigi Ferrucci

    Diterbitkan 2021-05-01
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  2. 2
    Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory.

    Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory. oleh Yu-Wei Lin, Yuqian Zhou, Faraz Faghri, Michael J Shaw, Roy H Campbell

    Diterbitkan 2019-01-01
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  3. 3
    Big Data: Astronomical or Genomical?

    Big Data: Astronomical or Genomical? oleh Zachary D Stephens, Skylar Y Lee, Faraz Faghri, Roy H Campbell, Chengxiang Zhai, Miles J Efron, Ravishankar Iyer, Michael C Schatz, Saurabh Sinha, Gene E Robinson

    Diterbitkan 2015-07-01
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  4. 4
    PhenoExam: gene set analyses through integration of different phenotype databases

    PhenoExam: gene set analyses through integration of different phenotype databases oleh Alejandro Cisterna, Aurora González-Vidal, Daniel Ruiz, Jordi Ortiz, Alicia Gómez-Pascual, Zhongbo Chen, Mike Nalls, Faraz Faghri, John Hardy, Irene Díez, Paolo Maietta, Sara Álvarez, Mina Ryten, Juan A. Botía

    Diterbitkan 2022-12-01
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  5. 5
    A fully automated FAIMS-DIA mass spectrometry-based proteomic pipeline

    A fully automated FAIMS-DIA mass spectrometry-based proteomic pipeline oleh Luke Reilly, Erika Lara, Daniel Ramos, Ziyi Li, Caroline B. Pantazis, Julia Stadler, Marianita Santiana, Jessica Roberts, Faraz Faghri, Ying Hao, Mike A. Nalls, Priyanka Narayan, Yansheng Liu, Andrew B. Singleton, Mark R. Cookson, Michael E. Ward, Yue A. Qi

    Diterbitkan 2023-10-01
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  6. 6
    Application of Aligned-UMAP to longitudinal biomedical studies

    Application of Aligned-UMAP to longitudinal biomedical studies oleh Anant Dadu, Vipul K. Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue A. Qi, Daniel M. Ramos, Brian Avants, Jacob Hesterman, Roger Gunn, Mark R. Cookson, Michael E. Ward, Andrew B. Singleton, Roy H. Campbell, Mike A. Nalls, Faraz Faghri

    Diterbitkan 2023-06-01
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  7. 7
    Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts

    Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts oleh Anant Dadu, Vipul Satone, Rachneet Kaur, Sayed Hadi Hashemi, Hampton Leonard, Hirotaka Iwaki, Mary B. Makarious, Kimberley J. Billingsley, Sara Bandres‐Ciga, Lana J. Sargent, Alastair J. Noyce, Ali Daneshmand, Cornelis Blauwendraat, Ken Marek, Sonja W. Scholz, Andrew B. Singleton, Mike A. Nalls, Roy H. Campbell, Faraz Faghri

    Diterbitkan 2022-12-01
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  8. 8
    Multi-modality machine learning predicting Parkinson’s disease

    Multi-modality machine learning predicting Parkinson’s disease oleh Mary B. Makarious, Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, Lana Sargent, Anant Dadu, Ivo Violich, Elizabeth Hutchins, David Saffo, Sara Bandres-Ciga, Jonggeol Jeff Kim, Yeajin Song, Melina Maleknia, Matt Bookman, Willy Nojopranoto, Roy H. Campbell, Sayed Hadi Hashemi, Juan A. Botia, John F. Carter, David W. Craig, Kendall Van Keuren-Jensen, Huw R. Morris, John A. Hardy, Cornelis Blauwendraat, Andrew B. Singleton, Faraz Faghri, Mike A. Nalls

    Diterbitkan 2022-04-01
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