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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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Dolores Stanley

Stanley Baksi

Stanley Heinze

Stanley Durrleman

Stanley Tang

Other publications of authors with the same name

Differential dynamics of the maternal immune system in healthy pregnancy and preeclampsiaX. Han, M. Ghaemi, K. Ando, L. Peterson, E. Ganio, A. Tsai, D. Gaudilliere, J. Einhaus, B. Bertrand, N. Stanley and 1 other author(s). Frontiers in immunology, (2019)Multiomics Characterization of Preterm Birth in Low- and Middle-Income CountriesF. Jehan, S. Sazawal, A. Baqui, M. Nisar, U. Dhingra, R. Khanam, M. Ilyas, A. Dutta, D. Mitra, U. Mehmood and 68 other author(s). JAMA Network Open, (2020)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)CytoSet: predicting clinical outcomes via set-modeling of cytometry data.H. Yi, and N. Stanley. BCB, page 47:1-47:8. ACM, (2021)Objective Activity Parameters Track Patient-Specific Physical Recovery Trajectories After Surgery and Link With Individual Preoperative Immune StatesR. Fallahzadeh, F. Verdonk, E. Ganio, A. Culos, N. Stanley, I. Maric, A. Chang, M. Becker, T. Phongpreecha, M. Xenochristou and 1 other author(s). Annals of Surgery, (October 2021)Stochastic block models with multiple continuous attributes.N. Stanley, T. Bonacci, R. Kwitt, M. Niethammer, and P. Mucha. Appl. Netw. Sci., 4 (1): 54:1-54:22 (2019)Distribution-based sketching of single-cell samples.V. Baskaran, J. Ranek, S. Shan, N. Stanley, and J. Oliva. BCB, page 26:1-26:10. ACM, (2022)Early prediction and longitudinal modeling of preeclampsia from multiomicsI. Marić, K. Contrepois, M. Moufarrej, I. Stelzer, D. Feyaerts, X. Han, A. Tang, N. Stanley, R. Wong, G. Traber and 1 other author(s). Patterns, 3 (12): 100655 (2022)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)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)

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Disambiguation of "Stanley, Natalie"

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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

Dolores Stanley

Stanley Baksi

Stanley Heinze

Stanley Durrleman

Stanley Tang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Stanley, Natalie"

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

Dolores Stanley

Stanley Baksi

Stanley Heinze

Stanley Durrleman

Stanley Tang

Other publications of authors with the same name

Disambiguation

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