normalizeTMT | R Documentation |
Normalize protein/peptide data using CONSTANd normalization
normalizeTMT(pdat, max.iter = 50, eps = 1e-05)
pdat |
A |
max.iter |
Maximum number of iterations for the RAS procedure. |
eps |
Convergence limit for the RAS procedure. |
normalizeTMT
implements CONSTANd algorithm from Maes et al. (2016)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4974351/pdf/zjw2779.pdf.
It normalizes TMT table, for each experiment separately. After normalization
each row shows the percentage of total row intensity and each column is
normalized to their mean value. Hence, both row and column means are equal
1/n, where n is the number of columns (reporters).
A proteusData
with normalized data.
library(proteusTMT)
data(proteusTMT)
prodat.norm <- normalizeTMT(prodat)
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