Prediction of model compartments by MaxComp and its comparison with the ground truth on H1-hESC Chr15 and Chr18

Prediction of model compartments by MaxComp and its comparison with the ground truth on H1-hESC Chr15 and Chr18

<p>(A) The experimental profile obtained from the Hi-C-based principal component analysis and the compartment profile predicted by MaxComp of 500 modeled structures of Chr15. (B) The experimental profile obtained from the Hi-C-based principal component analysis and the compartment profile pred...

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Bibliographic Details
Main Author: Yuxiang Zhan (11859404) (author)
Other Authors: Francesco Musella (21417414) (author), Frank Alber (57158) (author)
Published: 2025
Subjects:
Cell Biology
Genetics
Molecular Biology
Immunology
Cancer
Hematology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
geometric principles alone
3d geometric considerations
3d chromosome structure
two structural compartments
distinct chromatin compartments
div >< p
compartment preferentially interact
understanding chromatin compartmentalization
chromatin regions within
cell chromatin compartments
b </ b
chromatin regions
</ b
3d coordinates
defining compartments
compartments based
unsupervised method
transcriptionally active
transcriptional activity
traditionally identified
results show
population average
optimally partition
opposite compartment
omics imaging
nuclear microenvironment
new framework
multiplexed fish
cut problem
covariance matrices
compartment organization
compartment annotations
cell variations
cell variability
cell level
c data
broadly corresponding
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Summary:<p>(A) The experimental profile obtained from the Hi-C-based principal component analysis and the compartment profile predicted by MaxComp of 500 modeled structures of Chr15. (B) The experimental profile obtained from the Hi-C-based principal component analysis and the compartment profile predicted by MaxComp of 500 modeled structures of Chr18. (C) Scatter plot between the normalized compartment frequencies of MaxComp and the PC1 values showed together with the Pearson’s correlation coefficient between the two samples on each chromosome. (D) Comparison of speckle distances (p-value = 1.84e-153 and 9.64e-102), lamina distances (p-value = 1.03e-27 and 2.35e-56), radial positions (p-value = 1.03e-27 and 2.35e-56), radius of gyration (p-value = 9.54e-41 and 2.25e-54) and interchromosomal contacts (p-value = 1.89e-48 and 2.55e-76) between compartment <b>A</b> beads and compartment <b>B</b> beads on the population of structures of Chr15 and Chr18.</p> <p>(TIF)</p>

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