Published November 14, 2025 | Version v1
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R. Moncayo et al. 2026 - PARP inhibitors Spatial Transcriptomics Modelling

Authors/Creators

  • 1. ROR icon Imperial College London
  • 2. ROR icon University College London

Description

Mathematical Modelling of Spatial Transcriptomics
 
For R. Moncayo et al., Nature Communication 2026
Authors: Restuadi & Carmen Ramirez-Moncayo
 
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This folder contains scripts, data, and compiled reports used for the mathematical modelling of spatial transcriptomics data associated with the R.Moncayo et al. (2026) study, published in Nature Communications.
 
The analysis focuses on modelling drug response to Niraparib and Rucaparib using linear mixed models in the R programming environment.
 
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If you use these scripts or data, please cite:

R.Moncayo et al., Multimodal imaging reveals a lysosomal drug reservoir that drives heterogeneous distribution of PARP inhibitors. Nature Communications 2026
https://doi.org/10.1038/s41467-026-70558-1

Files

README.txt

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Additional details

Software

Programming language
R
Development Status
Active