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HetSeq  

Identifying Modulators of Cellular Responses Leveraging Intercellular Heterogeneity
View on CRAN: Click here


Download and install HetSeq package within the R console
Install from CRAN:
install.packages("HetSeq")

Install from Github:
library("remotes")
install_github("cran/HetSeq")

Install by package version:
library("remotes")
install_version("HetSeq", "0.1.0")



Attach the package and use:
library("HetSeq")
Maintained by
Kevin Berg
[Scholar Profile | Author Map]
First Published: 2025-02-03
Latest Update: 2025-02-03
Description:
Cellular responses to perturbations are highly heterogeneous and depend largely on the initial state of cells. Connecting post-perturbation cells via cellular trajectories to untreated cells (e.g. by leveraging metabolic labeling information) enables exploitation of intercellular heterogeneity as a combined knock-down and overexpression screen to identify pathway modulators, termed Heterogeneity-seq (see 'Berg et al' <doi:10.1101/2024.10.28.620481>). This package contains functions to generate cellular trajectories based on scSLAM-seq (single-cell, thiol-(SH)-linked alkylation of RNA for metabolic labelling sequencing) time courses, functions to identify pathway modulators and to visualize the results.
How to cite:
Kevin Berg (2025). HetSeq: Identifying Modulators of Cellular Responses Leveraging Intercellular Heterogeneity. R package version 0.1.0, https://cran.r-project.org/web/packages/HetSeq. Accessed 04 May. 2025.
Previous versions and publish date:
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Complete documentation for HetSeq
Functions, R codes and Examples using the HetSeq R package
Full HetSeq package functions and examples
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