A universal tool for predicting differentially active features in single-cell and spatial genomics d...
A universal tool for predicting differentially active features in single-cell and spatial genomics data
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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With the growing complexity of single-cell and spatial genomics data, there is an increasing importance of unbiased and efficient exploratory data analysis tools. One common exploratory data analysis step is the prediction of genes with different levels of activity in a subset of cells or locations inside a tissue. We previously developed singleCel...
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A universal tool for predicting differentially active features in single-cell and spatial genomics data
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TN_cdi_doaj_primary_oai_doaj_org_article_2acba4ded4ad4de49671193c21d839b4
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2acba4ded4ad4de49671193c21d839b4
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-38965-2
