Article

Linking Gene Expression to Clinical Outcomes in Pediatric Crohn’s Disease Using Machine Learning

2022-11-08

Abstract excerpt

<h4>Introduction</h4> Pediatric Crohn’s disease (CD) is the fastest growing age group and is characterized by frequent disease complications. We sought to analyze both ileal and colonic gene expression in a cohort of pediatric CD patients and apply machine learning-based models to predict risk of developing future complications. <h4>Methods</h4> RNA-seq was generated from matched ileal and colonic biopsies from...

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Literature Corpus work: 17749e88-6daf-50d0-a319-d738f2055ca2
DOI: 10.1101/2022.11.07.515480

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