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Normalize count data per cell and transform to log scale
LogNormalize(data, scale.factor = 10000, display.progress = TRUE)
Matrix with the raw count data
Scale the data. Default is 1e4
Print progress
Returns a matrix with the normalize and log transformed data
# NOT RUN { mat <- matrix(data = rbinom(n = 25, size = 5, prob = 0.2), nrow = 5) mat mat_norm <- LogNormalize(data = mat) mat_norm # }
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