Predictive overfitting in immunological applications: Pitfalls and solutions-Reference-Cited by-同舟云学术

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Predictive overfitting in immunological applications: Pitfalls and solutions

Published:2023-08 Issue:2 Volume:19 Page:
ISSN:2164-5515
Container-title:Human Vaccines & Immunotherapeutics
language:en
Short-container-title:Human Vaccines & Immunotherapeutics

Author:

Gygi Jeremy P.¹,Kleinstein Steven H.¹²³,Guan Leying¹⁴

Affiliation:

1. Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, USA

2. Department of Pathology, Yale School of Medicine, New Haven, CT, USA

3. Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA

4. Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA

Publisher

Informa UK Limited

Subject

Pharmacology,Immunology,Immunology and Allergy

Link

https://www.tandfonline.com/doi/pdf/10.1080/21645515.2023.2251830

Reference91 articles.

1. Machine learning for medical diagnosis: history, state of the art and perspective

2. Machine learning applications in cancer prognosis and prediction

3. Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer

4. Systems vaccinology: Enabling rational vaccine design with systems biological approaches

5. Pan-vaccine analysis reveals innate immune endotypes predictive of antibody responses to vaccination

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