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Assigns classification labels to pixels based on gene expression similarity.

assignFill.Rd

This function categorizes pixels into four groups based on their similarity in gene expression between two spatial experiments. The assigned classification is stored in a new column, `fill`, within the input data frame.

Usage

assignFill(input, gene, df)

Arguments

input

A list. Results from `spatialSimilarity()`. This includes the similarity table and classified pixel IDs.

gene

Character. The name of the gene for which pixel classification is performed.

df

Data frame containing pixel-level gene expression data.

Value

The input data frame with an additional column, `fill`, which assigns classification labels to pixels:

  • 1Pixels classified as similar (within the fold-change threshold).

  • 2Pixels with greater expression in dataset X than Y

  • 3Pixels with greater expression in dataset Y than X

  • 4Pixels with gene expression below the threshold in both experiments.