Scientists develop a new open-source method to unlock the secrets of single cells

Researchers at Memorial Sloan Kettering Cancer Center have created Spectra, a new open-source AI tool that enhances the analysis of single-cell transcriptomic data. Spectra can pinpoint important gene expression patterns amid technical noise, making it valuable for studying large patient groups, identifying meaningful patient characteristics, and discovering biomarkers and drug targets in immuno-oncology. The researchers offer Spectra for free, aiming to revolutionize single-cell transcriptomic data analysis and facilitate new biological discoveries worldwide.

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