Nothing
*Added Normalize_method table when the data_type is "measurement" or "others".
*Replaced the "insignificant" label in cuneiform plot with "non-significant"
*Replaced the "confounder" terms with "covariates" in the final signals.
*Fixed the problem that occurs in the measurement mode.
*Fixed the problem that occurs when there is only one feature variable.
*Optimized the data preprocess script to make LongDat also applicable to feature with negative values
NEWS.md
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