single-cell-ananlysis

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AltschulerWu-Lab / MUSE

MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states for spatially resolved transcriptomics data.

deep-learning clustering tensorflow data-integration spatial-transcriptomics single-cell-ananlysis multi-modal-analysis

Updated May 10, 2022
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SlavovLab / nPOP

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Code for the research article "Exploring functional protein covariation across single cells using nPOP". It is distributed under MIT license.

regulation gene-regulation proteomics sample-preparation single-cell-proteomics protein-complexes single-cell-ananlysis

Updated Dec 27, 2022
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