def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
loocv = ''
if antecedents.data.attributes['loocv'] == 'yes':
loocv = 'loocv'
filename = ('prediction_' + original_file + '_' +
antecedents.data.attributes['classify_alg'] + loocv + '.png')
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(user_options['GSEID'])
filename = 'expression_files_' + original_file
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
data_node, cls_node = antecedents
original_file = module_utils.get_inputid(data_node.identifier)
filename = 'signal_dwd_' + original_file + '.tdf'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
filename = 'signal_select_n_' + original_file + '.tdf'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
data_node_train, data_node_test, cls_node_train = antecedents
original_file = module_utils.get_inputid(data_node_train.identifier)
filename = 'weighted_voting_' + original_file + '.cdt'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
svm_model, data_node_test, cls_node_train = antecedents
original_file = module_utils.get_inputid(svm_model.identifier)
filename = 'svm_result' + original_file + '.txt'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(user_options['GSEID'])
filename = original_file + '_family.soft.gz'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
data_node, cls_node = antecedents
original_file = module_utils.get_inputid(data_node.identifier)
filename = 'predication_loocv_random_forest' + original_file + '.txt'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
return 'align_sequence' + original_file
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
filename = 'marked_duplicates_' + original_file + '.bam'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
data_node, group_node = antecedents
original_file = module_utils.get_inputid(data_node.identifier)
return original_file + '.tdf'
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
rma_node, mas5_node = antecedents
original_file = module_utils.get_inputid(rma_node.identifier)
filename = 'signature_score' + original_file
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
return 'signal_unlog' + original_file + '.tdf'
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
data_node1, data_node2, data_node3 = antecedents
original_file = module_utils.get_inputid(data_node1.identifier)
filename = 'compare_three_signature_predictions_' + original_file + '.txt'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
signal_node, de_node = antecedents
original_file = module_utils.get_inputid(signal_node.identifier)
return 'gene_list_' + original_file + '.txt'
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
original_file = original_file.replace('.rar', '')
filename = 'TCGAFile_' + original_file + '.txt'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
filename = 'fastq_files_' + original_file
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
filename = 'control_illumina_' + original_file + '.gct'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
original_file = module_utils.get_inputid(antecedents.identifier)
filename = 'vcf_annot_' + original_file + '.txt'
return filename
def name_outfile(self, antecedents, user_options):
from Betsy import module_utils
data_node1, data_node2 = antecedents
original_file = module_utils.get_inputid(data_node1.identifier)
filename = 'merge_' + original_file + '.cls'
return filename
