Description Usage Arguments Details Value Author(s) References See Also Examples
getDS
creates lists of significant isoforms from Differentially Spliced Genes (DSG)
1 | getDS(Model, vars="all", rsq=0.4)
|
Model |
a |
vars |
argument of the |
rsq |
cut-off level at the R-squared value for the stepwise regression fit. Only isoforms with R-squared more than rsq are selected |
There are 3 possible values for the vars argument: "all", "each" and "groups". See get.siggenes
.
In the console a summary of the selection is printed.
Model |
a |
get2 |
a |
DSG |
Names of the selected genes: Differentially Spliced Genes |
DET |
Names of the selected Isoforms: Differentally Expressed Transcripts |
List0 |
a list with the names of Differentially Spliced Genes without Isoforms with R-squared higher than rsq |
NumIso.by.gene |
Number of selected Isoforms for each Differentially Spliced Gene |
Maria Jose Nueda, mj.nueda@ua.es
Nueda, M.J., Martorell, J., Marti, C., Tarazona, S and Conesa, A. 2017. Identification and visualization of differential isoform expression in RNA-Seq time series. In preparation.
Nueda, M.J., Tarazona, S., Conesa, A. 2014. Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series. Bioinformatics, 30, 2598-602.
Conesa, A., Nueda M.J., Alberto Ferrer, A., Talon, T. 2006. maSigPro: a Method to Identify Significant Differential Expression Profiles in Time-Course Microarray Experiments. Bioinformatics 22, 1096-1102.
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