lm_list: A list of linear models of false positive differential...
In vallotlab/IDclust: Iterative Differential Clustering for single-cell
lm_list R Documentation
A list of linear models of false positive differential markers accross number
of cells
Description
A list of linear mode#' according to number of cells for scEpigenomics dataset accross various
binsizes (200000, 100000, 50000, 20000, 10000, 5000, TSS, genebody_TSS)
and was calculated aggregating false positive values accross multiple
marks (H3K9me3, H3K27me3, H3K27ac, H3K4me1, H3K4me3.)
Usage
data("lm_list")
Format
lm_list - A list of linear models. See stats::lm().
References
Joint profiling of histone modifications and transcriptome in single cells
from mouse brain, Chenxu Zhu, Yanxiao Zhang, Yang Eric Li, Jacinta Lucero,
. Margarita Behrens, Bing Ren, Nature Methods, 2021
Paired-Tag
vallotlab/IDclust documentation built on July 5, 2024, 3:26 p.m.
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| lm_list | R Documentation |
A list of linear models of false positive differential markers accross number of cells
Description
A list of linear mode#' according to number of cells for scEpigenomics dataset accross various binsizes (200000, 100000, 50000, 20000, 10000, 5000, TSS, genebody_TSS) and was calculated aggregating false positive values accross multiple marks (H3K9me3, H3K27me3, H3K27ac, H3K4me1, H3K4me3.)
Usage
data("lm_list")
Format
lm_list - A list of linear models. See stats::lm().
References
Joint profiling of histone modifications and transcriptome in single cells from mouse brain, Chenxu Zhu, Yanxiao Zhang, Yang Eric Li, Jacinta Lucero, . Margarita Behrens, Bing Ren, Nature Methods, 2021 Paired-Tag
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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