samples

Class that holds a collection of Sample objects and defines methods for batch processing.

Functions

from_sesame(datadir, annotation[, no_suffix])	Reads all .csv files in the directory provided, supposing they are SigDF from SeSAMe saved as csv files.
read_idata(sample_sheet_df, datadir)	Reads IDAT files for each sample in the provided sample sheet, organizes the data by sample name and channel, and returns a dictionary with the IDAT data and the label column name.
read_samples(datadir[, sample_sheet_df, ...])	Search for idat files in the datadir through all sublevels.

Classes

Samples([sample_sheet_df])

Samples objects hold sample methylation signal in a dataframe, as well as annotation information, sample sheet data and probes masks.