zeroone_norm | R Documentation |
Normalizes gene expression values in the input_data to be between 0 and 1. Normalization is done per gene (row-wise) through subtracting row minimum from each value and then being divided by row range. If using reference, the normalization is done using a gene's expression minimum and range in the reference data.
zeroone_norm(input_data, use_ref = FALSE, ref_data)
input_data |
a data.frame with gene IDs in the first column and expression values from the second column. |
use_ref |
a logical value indicating whether the normalization should be done based on the reference data (default: FALSE). |
ref_data |
a data.frame storing gene expression values to be used as a reference dataset for zero-one normalization. The first columns in input_data and ref_data that specify gene IDs should be exactly the same. |
a data.frame storing zero-one normalized gene expression values from the input_data.
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