A varying-coefficient model for the analysis of methylation sequencing data-Reference-Cited by-同舟云学术

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A varying-coefficient model for the analysis of methylation sequencing data

Published:2024-08 Issue: Volume:111 Page:108094
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Górczak Katarzyna,Burzykowski Tomasz^ORCID,Claesen Jürgen

Publisher

Elsevier BV

Reference34 articles.

1. DNA methylation and its role in the pathogenesis of diabetes;Bansal;Pediatr Diabetes,2017

2. Genome-wide CpG density and DNA methylation analysis method (MeDIP, RRBS, and WGBS) comparisons;Beck;Epigenetics,2022

3. DNA methylation dynamics in health and disease;Bergman;Nat. Struct. Mol. Biol.,2013

4. Analysis and performance assessment of the whole genome bisulfite sequencing data workflow: Currently available tools and a practical guide to advance DNA methylation studies;Gong;Small Methods,2022

5. Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach;Green,1994

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