Sparse Biomarkers refer to a small subset of features (biomarkers) that are highly informative or predictive of a specific outcome, such as disease diagnosis, prognosis, or response to treatment, in a dataset that typically contains a large number of features (e.g., gene expressions, proteins, metabolites) and relatively few samples.
We aim to improve the prediction of response or resistance to immunotherapies in patients with melanoma. This goal is based on the hypothesis that current gene signatures predicting immunotherapy outcomes show only modest accuracy due to the lack of spatial information about cellular functions and molecular processes within tumors and their microenvironment.
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