New open-source method to improve decoding of single-cell data

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Researchers have created an open-source computational method called Spectra that enhances the analysis of single-cell transcriptomic data. Spectra helps gain new insights into cell interactions, such as those between cancer cells and immune cells, for better immunotherapy treatments.

Researchers have developed a new open-source computational method, dubbed Spectra, which improves the analysis of single-cell transcriptomic data. By guiding data analysis in a unique way, Spectra can offer new insights into the complex interplay between cells — like the interactions between cancer cells and immune cells, which are critical to improving immunotherapy treatments.

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