def setParameters(self, params):
self._set_n_genes(params.get("n_genes", self.DEFAULT_N_GENS))
method = params.get("method", self.DEFAULT_METHOD)
index = enum_to_index(SelectMostVariableGenes.Method, method)
self.group.buttons()[index].setChecked(True)
compute_stats = params.get("compute_stats", self.DEFAULT_COMPUTE_STATS)
self.stats_check.setChecked(compute_stats)
self._set_n_groups(params.get("n_groups", self.DEFAULT_N_GROUPS))
def setParameters(self, params):
method = params.get("method", self.DEFAULT_METHOD)
index = enum_to_index(Normalize.Method, method)
self.group.buttons()[index].setChecked(True)
self._group_var = params.get("group_var", self.DEFAULT_GROUP_VAR)
group = bool(self._group_var and self.group_by_model)
if group:
index = self.group_by_model.indexOf(self._group_var)
self.group_by_combo.setCurrentIndex(index)
group_by = params.get("group_by", self.DEFAULT_GROUP_BY)
self.group_by_check.setChecked(group_by and group)
def setParameters(self, params):
base = params.get("base", self.DEFAULT_BASE)
self.base_cb.setCurrentIndex(enum_to_index(LogarithmicScale.Base,
base))
def setParameters(self, params):
cond = params.get("condition", self.DEFAULT_CONDITION)
self.cond_cb.setCurrentIndex(enum_to_index(Binarize.Condition, cond))
self._set_threshold(params.get("threshold", self.DEFAULT_THRESHOLD))