A Machine Learning Approach to Identifying Causal Monogenic Variants in Inflammatory Bowel Disease

A Machine Learning Approach to Identifying Causal Monogenic Variants in Inflammatory Bowel Disease

Background and Aims: Diagnosis of monogenic disease is increasingly important for patient care and personalizing therapy. However, the current process is nonstandardized, expensive, and time consuming. There is currently no accepted strategy to help identify disease-causing variants in monogenic inf...

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Bibliographic Details
Main Authors: Daniel J. Mulder, Sam Khalouei, Michael Li, Neil Warner, Claudia Gonzaga-Jauregui, Eric I. Benchimol, Peter C. Church, Thomas D. Walters, Arun K. Ramani, Anne M. Griffiths, Amanda Ricciuto, Aleixo M. Muise
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Gastro Hep Advances
Subjects:
Whole-exome Sequencing
Monogenic Disease
Pediatric IBD
Machine Learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2772572321000261

Internet

http://www.sciencedirect.com/science/article/pii/S2772572321000261

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