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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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Supplementary files for Heterogeneity-seq: R code, GRAND-SLAM files

Authors: Berg, Kevin; Erhard, Florian;

Supplementary files for Heterogeneity-seq: R code, GRAND-SLAM files

Abstract

This package contains the R code to reproduce the figures in the paper "Identifying Modulators of Cellular Responses by Heterogeneity-sequencing" currently available on bioRxiv. The Scifate.zip contains the R notebooks for preprocessing, the main analysis and the testing of Heterogeneity-seq via simulation of the Scifate data set. It also contains intermediary files to speed up rerunning the code. The MCMV.zip contains the R notebooks for preprocessing and the main analysis of the MCMV data set first presented in our manuscript. It also contains intermediary files to speed up rerunning the code. The functions.R files contains the Heterogeneity-seq functions, which will later be available as a standalone package.

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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