Quantile normalization over multiple arrays
NormData
= quantilenorm(Data
)
NormData
= quantilenorm(...,'MEDIAN',
true)
NormData
= quantilenorm(...,'DISPLAY',
true)
,
where the columns of NormData
= quantilenorm(Data
)Data
correspond to
separate chips, normalizes the distributions of the values in each
column.
Note
If Data
contains NaN values, then NormData
will
also contain NaN values at the corresponding positions.
takes the median of the ranked values instead of
the mean. NormData
= quantilenorm(...,'MEDIAN',
true)
plots the distributions of the columns and of the
normalized data.NormData
= quantilenorm(...,'DISPLAY',
true)
load yeastdata normYeastValues = quantilenorm(yeastvalues,'display',1);
affygcrma
| affyrma
| malowess
| manorm
| rmabackadj
| rmasummary