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ZENODO
Software . 2024
Data sources: ZENODO
ZENODO
Software . 2024
Data sources: Datacite
ZENODO
Software . 2024
Data sources: Datacite
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scAlleleExpression: R package for downstream analysis of allele specific expression single cell data

Authors: Simmons, Sean;

scAlleleExpression: R package for downstream analysis of allele specific expression single cell data

Abstract

This R package is build to use single cell or nuclei allele specific expression (ASE) data to investigate Cell Type specific regulatory genetics (eQTLs, etc). It is build to work with the output of our ASE pipeline (https://github.com/seanken/ASE_pipeline), but ourdownstream analysis tools should work with most allele specific expression pipelines. The package is built to: Load the output of our ASE pipeline into a matrix or a Seurat object. Load snps or gene level allele specific expression information in either a pseudobulk or cell specific count matrix. Perform varying types of allele specific expression analysis. Tasks 1 and 2 are pipeline specific, but taks 3 is more general.

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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