Additional file 10 of Bath: a Bayesian approach to analyze epigenetic transitions reveals a dual role of H3K27me3 in chondrogenesis

Supplementary file 10. Fig. B10 Posterior predictive checks for the Bayesian transition models for ECL (A-B) and MCL (C-D).: Contrasting the number of genes with a given transition (x-axes) against the average expected number of genes based on the model’s parameter estimates (y-axes). Each data point represents a specific tissue pair (indicated by color and shape) and gene set of interest. The variation along the x-axis reflects differences between replicates, grouped by a common y-value, which represents the model’s estimate of the average expected number of genes. Due to the vastly different scale, the data are split into measurements and estimates of the background (A, C) and measurements and estimates of the gene sets (B, D).The gray line indicates a perfect match between the measurements and the average estimates. For an overview of the model’s performance, see Supp. Fig. B11.

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29421977
Primary Topic
Genomics and Chromatin Dynamics
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article
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article

Additional file 10 of Bath: a Bayesian approach to analyze epigenetic transitions reveals a dual role of H3K27me3 in chondrogenesis

Figshare
Genomics and Chromatin Dynamics
article

Additional file 10 of Bath: a Bayesian approach to analyze epigenetic transitions reveals a dual role of H3K27me3 in chondrogenesis

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Abstract

Supplementary file 10. Fig. B10 Posterior predictive checks for the Bayesian transition models for ECL (A-B) and MCL (C-D).: Contrasting the number of genes with a given transition (x-axes) against the average expected number of genes based on the model’s parameter estimates (y-axes). Each data point represents a specific tissue pair (indicated by color and shape) and gene set of interest. The variation along the x-axis reflects differences between replicates, grouped by a common y-value, which represents the model’s estimate of the average expected number of genes. Due to the vastly different scale, the data are split into measurements and estimates of the background (A, C) and measurements and estimates of the gene sets (B, D).The gray line indicates a perfect match between the measurements and the average estimates. For an overview of the model’s performance, see Supp. Fig. B11.

Figshare
University of Duisburg-Essen (DE)
Openalex Percentile: Top 61%
Genomics and Chromatin Dynamics
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