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Figure S3: Potential clustering solutions for defining groups of dynamic methylation clusters. from 5-Azacytidine Transiently Restores Dysregulated Erythroid Differentiation Gene Expression in TET2-Deficient Erythroleukemia Cells

Authors :
Rafael Bejar
Anjana Rao
Yun Huang
Kun Zhang
Dinh Diep
Tiffany Tanaka
Laura Williamson
Minjung Lee
Emily C. Wheeler
Edahí González-Avalos
Chan-Wang Jerry Lio
Soo Park
Timothy Luger
Brian M. Reilly
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Line plots in grid: each colored line represents a single CpG locus over time after 5-Aza treatment. Black line indicates mean value for that cluster group. Dotted black line indicates mean +/- 1 standard deviation. From left to right: clustering solutions with K=2 to K=9 clusters (derived from cutting the hierarchical cluster tree at different levels); top to bottom: the patterns of methylation in each cluster for that cluster solution. Mean silhouette width plot shows the mean silhouette width of all clusters for each individual clustering solution. K=4 clusters produced the most well-defined clusters as indicated by the peak in silhouette width.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....cbbb7b132329df7d98bca39726bf1946
Full Text :
https://doi.org/10.1158/1541-7786.22525881