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Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

A. Culos, A. Tsai, N. Stanley, M. Becker, M. Ghaemi, D. Mcilwain, R. Fallahzadeh, A. Tanada, H. Nassar, C. Espinosa, M. Xenochristou, E. Ganio, L. Peterson, X. Han, I. Stelzer, K. Ando, D. Gaudilliere, T. Phongpreecha, I. Maric, A. Chang, G. Shaw, D. Stevenson, S. Bendall, K. Davis, W. Fantl, G. Nolan, T. Hastie, R. Tibshirani, M. Angst, B. Gaudilliere, and N. Aghaeepour. Nat. Mach. Intell., 2 (10): 619-628 (2020)

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Amy Marga

Amy Winter

Adham Amyan

Amy Chung

Wei-Ding Tsai

Other publications of authors with the same name

Integrated Single-cell and Plasma Proteomic Modeling to Predict Surgical Site Complications: A Prospective Cohort StudyK. Rumer, J. Hedou, A. Tsai, J. Einhaus, F. Verdonk, N. Stanley, B. Choisy, E. Ganio, A. Bonham, D. Jacobsen and 1 other author(s). Annals of surgery, 275 (3): 582--590 (2022)Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.M. Ghaemi, D. DiGiulio, K. Contrepois, B. Callahan, T. Ngo, B. Lee-McMullen, B. Lehallier, A. Robaczewska, D. Mcilwain, Y. Rosenberg-Hasson and 33 other author(s). Bioinform., 35 (1): 95-103 (2019)Redefining Therapeutic Success with Virtual Reality Exposure Therapy.A. García-Palacios, H. Hoffman, S. See, A. Tsai, and C. Botella. Cyberpsy., Behavior, and Soc. Networking, 4 (3): 341-348 (2001)Mining data from the AP CS a exam: patterns, non-patterns, and replication failure.C. Lewis, H. Khayrallah, and A. Tsai. ICER, page 115-122. ACM, (2013)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.A. Culos, A. Tsai, N. Stanley, M. Becker, M. Ghaemi, D. Mcilwain, R. Fallahzadeh, A. Tanada, H. Nassar, C. Espinosa and 21 other author(s). Nat. Mach. Intell., 2 (10): 619-628 (2020)VoPo leverages cellular heterogeneity for predictive modeling of single-cell dataN. Stanley, I. Stelzer, A. Tsai, R. Fallahzadeh, E. Ganio, M. Becker, T. Phongpreecha, H. Nassar, S. Ghaemi, I. Maric and 20 other author(s). Nature Communications, 11 (1): 3738-- (2020)Systemic immunologic consequences of chronic periodontitisD. Gaudilliere, A. Culos, K. Djebali, A. Tsai, E. Ganio, W. Choi, X. Han, A. Maghaireh, B. Choisy, Q. Baca and 1 other author(s). Journal of Dental Research, 98 (9): 985--993 (2019)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictionsA. Culos, A. Tsai, N. Stanley, M. Becker, M. Ghaemi, D. McIlwain, R. Fallahzadeh, A. Tanada, H. Nassar, C. Espinosa and 1 other author(s). Nature Machine Intelligence, 2 (10): 619--628 (2020)An immune clock of human pregnancyN. Aghaeepour, E. Ganio, D. Mcilwain, A. Tsai, M. Tingle, S. Van Gassen, D. Gaudilliere, Q. Baca, L. McNeil, R. Okada and 1 other author(s). Science immunology, 2 (15): eaan2946 (2017)Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onsetI. Stelzer, M. Ghaemi, X. Han, K. Ando, J. Hedou, D. Feyaerts, L. Peterson, K. Rumer, E. Tsai, E. Ganio and 28 other author(s). Science Translational Medicine, (2021)

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Disambiguation of "Tsai, Amy"

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Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

Please choose a person to relate this publication to

Amy Marga

Amy Winter

Adham Amyan

Amy Chung

Wei-Ding Tsai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tsai, Amy"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

Please choose a person to relate this publication to

Amy Marga

Amy Winter

Adham Amyan

Amy Chung

Wei-Ding Tsai

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.