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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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R. Moncayo et al. 2026 - PARP inhibitors Spatial Transcriptomics Modelling

Authors: Restuadi, Restuadi;

R. Moncayo et al. 2026 - PARP inhibitors Spatial Transcriptomics Modelling

Abstract

Mathematical Modelling of Spatial Transcriptomics For R. Moncayo et al., Nature Communication 2026 Authors: Restuadi & Carmen Ramirez-Moncayo ⸻ 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. ⸻ 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 2026https://doi.org/10.1038/s41467-026-70558-1

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average