def spellman_yeast(data_set='<STR_LIT>'):
if not data_available(data_set):<EOL><INDENT>download_data(data_set)<EOL><DEDENT>from pandas import read_csv<EOL>dir_path = os.path.join(data_path, data_set)<EOL>filename = os.path.join(dir_path, '<STR_LIT>')<EOL>Y = read_csv(filename, header=<NUM_LIT:0>, index_col=<NUM_LIT:0>, sep='<STR_LIT:\t>')<EOL>return data_details_return({'<STR_LIT:Y>': Y}, data_set)<EOL>
This is the classic Spellman et al 1998 Yeast Cell Cycle gene expression data that is widely used as a benchmark.