def phenotype_for_js(self, exp, *args, **kwargs):
es = None
for input_name in self.es_inputs:
es = self.get_input_var(input_name)
if es is not None:
break
res = prepare_phenotype_for_js_from_es(es)
res["features"] = self.features
return res
def phenotype_for_js(self, exp, *args, **kwargs):
es = None
for input_name in self.es_inputs:
es = self.get_input_var(input_name)
if es is not None:
break
res = prepare_phenotype_for_js_from_es(es)
res["features"] = self.features
return res
def phenotype_for_js(self, exp, *args, **kwargs):
m_rna_es = self.get_out_var("m_rna_es")
mi_rna_es = self.get_out_var("mi_rna_es")
methyl_es = self.get_out_var("methyl_es")
es = None
if m_rna_es is not None:
es = m_rna_es
elif mi_rna_es is not None:
es = mi_rna_es
elif methyl_es is not None:
es = methyl_es
if es is None:
raise Exception("No data was stored before")
return prepare_phenotype_for_js_from_es(es)
def phenotype_for_js(self, exp, *args, **kwargs):
m_rna_es = self.get_out_var("m_rna_es")
mi_rna_es = self.get_out_var("mi_rna_es")
methyl_es = self.get_out_var("methyl_es")
es = None
if m_rna_es is not None:
es = m_rna_es
elif mi_rna_es is not None:
es = mi_rna_es
elif methyl_es is not None:
es = methyl_es
if es is None:
raise Exception("No data was stored before")
return prepare_phenotype_for_js_from_es(es)
def phenotype_for_js(self, exp, *args, **kwargs):
headers_options = {
"custom_title_prefix_map": [
("Sample_title", "Title"),
("Sample_description", "Description"),
("Sample_characteristics", "Characteristics"),
("Sample_organism", "Organism"),
("Sample_geo_accession", "GEO #"),
("Sample_", ""),
],
"prefix_order": [
"Sample_geo_accession",
"Sample_title",
"Sample_description",
"Sample_contact",
"Sample_characteristics",
],
"prefix_hide": {
"Sample_contact",
"Sample_channel",
"Sample_data_row_count",
"Sample_data",
"Sample_platform",
"Sample_growth",
"Sample_series_id",
"Sample_status",
"Sample_extract",
"Sample_supplementary_file",
"Sample_hyb",
"Sample_label",
"Sample_source",
"Sample_last_update",
"Sample_molecule",
"Sample_organism",
"Sample_scan",
"Sample_taxid",
"Sample_type",
"Sample_submission",
}
}
return prepare_phenotype_for_js_from_es(
self.get_out_var("expression_set"), headers_options)
def phenotype_for_js(self, exp, *args, **kwargs):
headers_options = {
"custom_title_prefix_map": [
("Sample_title", "Title"),
("Sample_description", "Description"),
("Sample_characteristics", "Characteristics"),
("Sample_organism", "Organism"),
("Sample_geo_accession", "GEO #"),
("Sample_", ""),
],
"prefix_order": [
"Sample_geo_accession",
"Sample_title",
"Sample_description",
"Sample_contact",
"Sample_characteristics",
],
"prefix_hide": {
"Sample_contact",
"Sample_channel",
"Sample_data_row_count",
"Sample_data",
"Sample_platform",
"Sample_growth",
"Sample_series_id",
"Sample_status",
"Sample_extract",
"Sample_supplementary_file",
"Sample_hyb",
"Sample_label",
"Sample_source",
"Sample_last_update",
"Sample_molecule",
"Sample_organism",
"Sample_scan",
"Sample_taxid",
"Sample_type",
"Sample_submission",
}
}
return prepare_phenotype_for_js_from_es(
self.get_out_var("expression_set"), headers_options)
def phenotype_for_js(self, exp, *args, **kwargs):
return prepare_phenotype_for_js_from_es(self.get_out_var("expression_set"))
def phenotype_for_js(self, exp, *args, **kwargs):
return prepare_phenotype_for_js_from_es(self.get_out_var("expression_set"))
