Federated Learning Enables Big Data for Rare Cancer Boundary Detection

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Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally sharing ample, and importantly diverse, data from multiple sites. However,

Externí odkaz: http://arxiv.org/abs/2204.10836

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Publikováno v: BMC Bioinformatics, Vol 9, Iss Suppl 9, p S1 (2008)

Externí odkaz: https://doaj.org/article/7212a3e443b64189bc48186b96ddc5e0

Proceedings of the Fourth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society

Autor: Winters-Hilt Stephen, Bridges Susan, Loganantharaj Raja, Gusev Yuriy, Wilkins Dawn, Wren Jonathan D

Publikováno v: BMC Bioinformatics, Vol 8, Iss Suppl 7, p S1 (2007)

Externí odkaz: https://doaj.org/article/8deaeacf17b845a185b672dfde140da4

Suppressor T helper type 17 cell responses in intestinal transplant recipients with allograft rejection

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Publikováno v: In Human Immunology May 2024 85(3)

Translational bioinformatics and data science for biomarker discovery in mental health: an analytical review.

Autor: Bhuvaneshwar, Krithika¹ (AUTHOR) kb472@georgetown.edu, Gusev, Yuriy¹ (AUTHOR)

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