A schematic showcasing the methodology that computes the community stability for a Hi-C network.

<p>Using the original Hi-C data, we bootstrap by sampling data from the contact distributions associated with each distance (<a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000053#pcsy.0000053.g002" target="_blank">Fig 2</a...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Lucas Hedström (21688891) (author)
مؤلفون آخرون:	Antón Carcedo (21688894) (author), Ludvig Lizana (2440240) (author)
منشور في:	2025
الموضوعات:	Cell Biology Genetics Molecular Biology Cancer Biological Sciences not elsewhere classified researchers increasingly treat network &# 8217 maximizing local modularity influences gene activity generate null models average internal contac almost fully connected active chromatin marks less stable ones finding significant communities distill 3d communities identifying stable communities extract 3d communities c data sets stable communities c data unperturbed dataset take advantage scale interactions scale hierarchies remain intact paper presents multifractal properties contact networks considerable challenges c networks c maps broad applicability also find
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A schematic showcasing the methodology that computes the community stability for a Hi-C network.

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