Deconvolution algorithms are computational methods used to disentangle complex mixtures of cell types or molecular signals into their individual components. In the context of cancer, these algorithms help in understanding the tumor microenvironment by identifying and quantifying the different cell types present within a tumor. This information is crucial for developing targeted therapies and understanding tumor biology.
