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I have a few examples where we generate gene expression signatures based on some single cell categories (e.g. cell type) and then add gene-level (row) categories based on which cell category the gene is most highly expressed in. This usually only adds categories for a subset of genes since not all genes are considered "signature" genes. We should simplify this process and have the following features:
Assign each gene a category based on which cell type (or generally category) it is most highly expressed
Calculate this in the front end after setting manual categories
Show the P-value (-log10) as a value-based category of the one-vs-all T-test. This allows users to easily identify significantly differentially up-regulated genes in a category
The text was updated successfully, but these errors were encountered:
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Gene category based on highest cell-type category expression
Row category based on highest cell-type category expression
May 24, 2020
I have a few examples where we generate gene expression signatures based on some single cell categories (e.g. cell type) and then add gene-level (row) categories based on which cell category the gene is most highly expressed in. This usually only adds categories for a subset of genes since not all genes are considered "signature" genes. We should simplify this process and have the following features:
The text was updated successfully, but these errors were encountered: