Comparison between population sizes on predicted profiles and their correlations

<p>(A) The experimental profile obtained from principal component analysis on ensemble Hi-C matrix. (B) The predicted normalized compartment frequencies by MaxComp on populations of modeled Chr6 structures with different sizes. (C) Scatter plots between PC1 values from the Hi-C-based PCA and v...

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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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Comparison between population sizes on predicted profiles and their correlations

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