dist.sou_v: Estimate sOU expression distance when expression optima vary...
In jingwyang/TreeExp: the R package for analyzing expression evolution based on RNA-seq data
Description
Usage
Arguments
Value
Author(s)
Examples
Description
estimate sOU expression distance when expression optima vary among
genes (sOU_v distance)
Usage
1
dist.sou_v(exptable = NULL)
Arguments
exptable
an exprssion level table: column corresponds to median
expression value of all biological samples within one taxa_subtaxa group;
row corresponds to othologous genes
('spe' for Spearman's correlation coefficient; pea' for
Pearson's correlation correlation coefficient).
Value
returns a list containing estimated expression distance
(sOU_v) matrix and parameter pi which measures the variance
of optima among genes under sOU model
Author(s)
Jingwen Yang
Examples
1
2
3
4
data('tetraExp')
exp_table <- exptabTE(tetraExp, taxa = "all", subtaxa = "heart")
dismat <- dist.sou_v(exptable = exp_table)
dismat
jingwyang/TreeExp documentation built on June 11, 2019, 6:17 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
estimate sOU expression distance when expression optima vary among genes (sOU_v distance)
Usage
1 | dist.sou_v(exptable = NULL)
|
Arguments
exptable |
an exprssion level table: column corresponds to median
expression value of all biological samples within one taxa_subtaxa group;
row corresponds to othologous genes
(' |
Value
returns a list containing estimated expression distance
(sOU_v) matrix and parameter pi which measures the variance
of optima among genes under sOU model
Author(s)
Jingwen Yang
Examples
1 2 3 4 | data('tetraExp')
exp_table <- exptabTE(tetraExp, taxa = "all", subtaxa = "heart")
dismat <- dist.sou_v(exptable = exp_table)
dismat
|
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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