def display_on_map(self, map_name=None):
color_scales = {
"gimme_fluxes": [dict(type='min', color="yellow", size=20),
dict(type='value', value=0, color="green", size=7),
dict(type='max', color='blue', size=20)],
"expression": [dict(type='value', value=log_plus_one(self.cutoff), color="green", size=10),
dict(type='max', color='blue', size=20),
dict(type='min', color='yellow', size=5)],
"inconsistency_scores": [dict(type='value', value=0, color="yellow", size=10),
dict(type='max', color='green', size=20)]
}
normalization_functions = {
"gimme_fluxes": float,
"expression": float,
"inconsistency_scores": float
}
viewer = EscherViewer(self.data_frame, map_name, color_scales, normalization_functions)
drop_down = Dropdown()
drop_down.options = {
"Fluxes": "gimme_fluxes",
"Expression": "expression",
"Inconsistency Score": "inconsistency_scores"
}
drop_down.default_value = "gimme_fluxes"
drop_down.on_trait_change(lambda x: viewer(drop_down.get_state("value")["value"]))
display(drop_down)
viewer("gimme_fluxes")
def display_on_map(self, map_name):
color_scales = {
"fluxes_%s" % self._a_key: [dict(type='min', color="yellow", size=20),
dict(type='value', value=0, color="blue", size=7),
dict(type='max', color='green', size=20)],
"fluxes_%s" % self._b_key: [dict(type='min', color="yellow", size=20),
dict(type='value', value=0, color="blue", size=7),
dict(type='max', color='green', size=20)],
"manhattan_distance": [dict(type='min', color="yellow", size=20),
dict(type='value', value=0, color="blue", size=7),
dict(type='max', color='green', size=20)],
"euclidean_distance": [dict(type='min', color="yellow", size=20),
dict(type='value', value=0, color="blue", size=7),
dict(type='max', color='green', size=20)],
"activity_profile": [dict(type='value', value=-1, color="yellow", size=10),
dict(type='value', value=0, color="green", size=10),
dict(type='value', value=1, color='blue', size=10)],
"fold_change": [dict(type='min', color="yellow", size=20),
dict(type='value', value=0, color="blue", size=7),
dict(type='max', color='green', size=20)]
}
normalization_functions = {
"fluxes_%s" % self._a_key: float,
"fluxes_%s" % self._b_key: float,
"manhattan_distance": float,
"euclidean_distance": float,
"activity_profile": int,
"fold_change": np.log2
}
viewer = EscherViewer(self.data_frame, map_name, color_scales, normalization_functions)
drop_down = Dropdown()
drop_down.options = OrderedDict({
"Flux Distribution %s" % self._a_key: "fluxes_%s" % self._a_key,
"Flux Distribution %s" % self._b_key: "fluxes_%s" % self._b_key,
"Manhattan Distance": "manhattan_distance",
"Euclidean Distance": "euclidean_distance",
"Activity Profile": "activity_profile",
"log2 Fold Change": "fold_change"
})
drop_down.default_value = "fluxes_%s" % self._a_key
drop_down.on_trait_change(lambda x: viewer(drop_down.get_state("value")["value"]))
display(drop_down)
viewer("fluxes_%s" % self._a_key)
