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., Conesa, A. 2018. Identification and visualization of differential isoform expression in RNA-seq time series. Bioinformatics. 34, 3, 524-526.
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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