Man pages for roonysgalbi/tispec
Calculates tissue specificity from RNA-seq data
| calcTau | Implements tissue specificity algorithm |
| checkInput | Checks the input data frame for incompatible values values,... |
| getControls | Get a set of genes that can be used to differentiate between... |
| getDist | Get tissue specific distribution |
| getMart | Get ensembl annotations |
| getOptimum | Extract a set of genes that are both highly specific for and... |
| getTissue | Get expression and specificity of each gene in a single... |
| log2Exp | Example log normalised data set output of log2Trans() |
| log2Tran | Log Transforms a data frame |
| meanExp | Example input data set |
| optimum | Example output of getOptimum() |
| plotCorr | Plot correlation between expression and specificity |
| plotDensity | Plot tissue specificity distribution |
| plotDist | Plot number of tissue specific genes per tissue |
| plotGene | Plot specificity of a user defined gene for each tissue |
| qnExp | Example quantile normalised data set output of quantNorm() |
| quantNorm | Quantile normalise a data frame |
| tauAnno | Example ensembl annotation of data set output of getMart() |
| tauExp | Example tau + expression fraction output of calcTau() |
| tissueA | Example tissueA output of getTissue() |
| tissueB | Example tissueB output of GetTissue() |
