normalize-methods: Total-Sum Scaling (TSS) method
In HuaZou/MyRtools: Statistic Approaches on Data Analysis

TSS simply transforms the feature table into relative abundance by dividing the number of total reads of each sample.

TMM calculates the normalization factor using a robust statistics based on the assumption that most features are not differential and should, in average, be equal between the samples. The TMM scaling factor is calculated as the weighted mean of log-ratios between each pair of samples, after excluding the highest count OTUs and OTUs with the largest log-fold change.

RLE assumes most features are not differential and uses the relative abundances to calculate the normalization factor.

In CLR, the log-ratios are computed relative to the geometric mean of all features.

norm_tss(object)

norm_tmm(
  object,
  ref_column = NULL,
  logratio_trim = 0.3,
  sum_trim = 0.05,
  do_weighting = TRUE,
  Acutoff = -1e+10
)

norm_rle(
  object,
  locfunc = stats::median,
  type = c("poscounts", "ratio"),
  geo_means = NULL,
  control_genes = NULL
)

norm_clr(object)

norm_zscore(object)

norm_median(object)

norm_mad(object)

norm_robust(object)

norm_unit(object)

norm_minmax(object)

`object,`	Object; a ['matrix'](Row->Features; Column->Samples).
`ref_column`	column to use as reference
`logratio_trim`	amount of trim to use on log-ratios
`sum_trim`	amount of trim to use on the combined absolute levels ("A" values)
`do_weighting`	whether to compute the weights or not
`Acutoff`	cutoff on "A" values to use before trimming
`locfunc`	a function to compute a location for a sample. By default, the median is used.
`type`	method for estimation: either "ratio"or "poscounts" (recommend).
`geo_means`	default 'NULL', which means the geometric means of the counts are used. A vector of geometric means from another count matrix can be provided for a "frozen" size factor calculation.
`control_genes`	default 'NULL', which means all taxa are used for size factor estimation, numeric or logical index vector specifying the taxa used for size factor estimation (e.g. core taxa).