Model performance and linear regression coefficients for co-occupying PRC1 (RING1B) and PRC2 (SUZ12) components and their catalytic marks across multiple time points following RING1B degradation.

(A) Model performance for predicting RNA Pol-II occupancy based on chromatin-associated protein profiles for Dobrinić et al. without incorporating H3K4me3. Coefficients of determination (R2) are shown for training, validation and test datasets for 5...

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Main Author:	Kashyap Chhatbar (9515350) (author)
Other Authors:	Adrian Bird (84938) (author), Guido Sanguinetti (343362) (author)
Published:	2025
Subjects:	Biochemistry Microbiology Cell Biology Genetics Molecular Biology Marine Biology Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified suggesting crosstalk mediated shapley additive explanations predict rna pol mechanistically remains challenging infer functional relevance dependent regulatory networks integrating predictive modelling insights using data based perturbation experiments associated protein profiles unravel complex context unperturbed data perturbation even modelling transcription associated proteins restrictor complex integrator complex compass complex unperturbed conditions transcriptional regulation transcriptional changes influencing transcription ii occupancy genes ranked gene bodies findings highlight experimental validation cooperative roles analysis reveals also captures
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Model performance and linear regression coefficients for co-occupying PRC1 (RING1B) and PRC2 (SUZ12) components and their catalytic marks across multiple time points following RING1B degradation.

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