Genome‐wide association study‐based deep learning for survival prediction-Reference-Cited by-同舟云学术

Genome‐wide association study‐based deep learning for survival prediction

Published:2020-09-24 Issue:30 Volume:39 Page:4605-4620
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Sun Tao¹²,Wei Yue¹,Chen Wei¹³,Ding Ying¹^ORCID

Affiliation:

1. Department of Biostatistics University of Pittsburgh Pittsburgh Pennsylvania USA

2. Center for Applied Statistics and School of Statistics Renmin University of China Beijing China

3. Department of Pediatrics University of Pittsburgh Pittsburgh Pennsylvania USA

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8743

Reference49 articles.

1. Cancer genomics: from discovery science to personalized medicine

2. Precision Medicine Core: Progress in Prognostication—Populations to Patients

3. ChiCL StreetWN WolbergWH. Application of artificial neural network‐based survival analysis on two breast cancer datasets. Paper presented at: Proceedings of the 2007 of AMIA Annual Symposium Proceedings. Chicago: American Medical Informatics Association;2007:130.

4. A Clinical Index to Define Risk of Asthma in Young Children with Recurrent Wheezing

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