Bioinformatics software detects cancer-related changes in single-cell studies

In recent years, the analysis of single-cell and spatial data has revolutionized biomedical research, making it possible to observe what happens in biological samples with an unprecedented level of detail. Interpreting this data, however, is not easy because different software offers different results which are hard to compare.

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