DAseq: DAseq: Detecting regions of differential abundance between...
In KlugerLab/DAseq: Detecting regions of differential abundance between scRNA-seq datasets
Description
DA-seq is a multiscale approach for detecting DA subpopulations.
In contrast to clustering based approaches, our method can detect DA subpopulations that do not form
well separated clusters.
For each cell, we compute a multiscale differential abundance score measure.
These scores are based on the k nearest neighbors in the transcriptome space for various values of k.
Author(s)
Jun Zhao, Ariel Jaffe, Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Yuval Kluger
KlugerLab/DAseq documentation built on April 13, 2021, 9:02 p.m.
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Description
DA-seq is a multiscale approach for detecting DA subpopulations. In contrast to clustering based approaches, our method can detect DA subpopulations that do not form well separated clusters. For each cell, we compute a multiscale differential abundance score measure. These scores are based on the k nearest neighbors in the transcriptome space for various values of k.
Author(s)
Jun Zhao, Ariel Jaffe, Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Yuval Kluger
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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