Command-line interface (CLI)
tspex can be executed from the command line using the tspex
command. It takes an expression matrix file as input and outputs the computed tissue-specificity values.
The input is an expression matrix with rows and columns corresponding to genes and tissues, respectivelly. The file must be in in the TSV or CSV formats.
Usage
usage: tspex [-h] [-l] [-d] [-t THRESHOLD] input_file output_file method
Compute gene tissue-specificity from an expression matrix and save the output.
positional arguments:
input_file Expression matrix file in the TSV, CSV or Excel
formats.
output_file Output TSV file containing tissue-specificity values.
method Tissue-specificity metric. Allowed values are:
"counts", "tau", "gini", "simpson",
"shannon_specificity", "roku_specificity", "tsi",
"zscore", "spm", "spm_dpm", "js_specificity",
"js_specificity_dpm".
optional arguments:
-h, --help show this help message and exit
--version show program's version number and exit
-l, --log Log-transform expression values. (default: False)
-d, --disable_transformation
By default, tissue-specificity values are transformed
so that they range from 0 (perfectly ubiquitous) to 1
(perfectly tissue-specific). If this parameter is
used, transformation will be disabled and each metric
will have have a diferent range of possible values.
(default: False)
-t THRESHOLD, --threshold THRESHOLD
Threshold to be used with the "counts" metric. If
another method is chosen, this parameter will be
ignored. (default: 0)
Examples
- Using the
spm
metric to compute tissue-specificity values from a log-transformed expression matrix:
tspex --log gene_expression.tsv tspex_spm.tsv spm
- Using the
counts
method to compute tissue-specificity by counting the number of tissues in which the gene expression is greater than 10:
tspex --threshold 10 gene_expression.tsv tspex_counts.tsv counts
- Using the
zscore
without transformation to quantify tissue-specificity as the number of standard deviations away from the mean gene expression:
tspex --disable_transformation gene_expression.tsv tspex_zscore.tsv zscore