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PYangLab / Matilda

Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-modality of such data and trains a neural network model to simultaneously learn multiple tasks including data simulation, dimension reduction, visualization, classification, and feature selection.
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Help with Cell Type Label #5

Closed Hw-31016 closed 1 month ago

Hw-31016 commented 1 month ago

I also did not find the corresponding cell type label of TEA-seq, could the author explain how to get the labels?

liuchunlei0430 commented 1 month ago

The TEA-seq data is obtained from the following paper: https://elifesciences.org/articles/63632/figures#files.

You can access the cell type labels by clicking on 'Figures and Data,' navigating to Figure 4, and downloading the file 'elife-63632-fig4-data2-v2.zip' under Figure 4—source data 2 "Fractions of cells assigned to each type by flow cytometry and scATAC-seq".

Hope this can help.

Hw-31016 commented 1 month ago

Thanks for your response! it's really helpful!