Researchers use this tool to understand how genes control each other. It looks at gene expression data from experiments like RNA-seq. The tool finds which transcription factors turn other genes on or off. This helps uncover the regulatory networks inside cells.
The software uses fast machine learning algorithms like GRNBoost2. It can handle large datasets from many samples or single cells. You can run it on your computer or a big cluster to speed up the work.
Just give it a table of gene expression values. It will output a list of likely regulatory relationships. This makes complex biology easier to explore.
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