dynamo.sim.Gillespie¶
-
dynamo.sim.
Gillespie
(a=None, b=None, la=None, aa=None, ai=None, si=None, be=None, ga=None, C0=array([[0.0], [0.0], [0.0], [0.0], [0.0]]), t_span=[0, 50], n_traj=1, t_eval=None, dt=1, method='basic', verbose=False)[source]¶ A simulator of RNA dynamics that includes RNA bursting, transcription, metabolic labeling, splicing, transcription, RNA/protein degradation
- Parameters
a (float or None) – rate of active promoter switches to inactive one
b (float or None) – rate of inactive promoter switches to active one
la (float or None) – lambda_: 4sU labelling rate
aa (float or None) – transcription rate with active promoter
ai (float or None) – transcription rate with inactive promoter
si (float or None) – sigma, degradation rate
be (float or None) – beta, splicing rate
ga (float or None) – gamma: the fraction of labeled u turns to unlabeled s
C0 (numpy.ndarray (default: np.zeros((5, 1)))) – A numpy array with dimension of 5 x n_gene. Here 5 corresponds to the five species (s - promoter state, ul, uu, sl, su) for each gene.
t_span – list of between and end time of simulation
n_traj – number of simulation trajectory to use
t_eval (float or None) – the time points at which data is simulated
dt (float (default: 1)) – delta t used in simulation
method (str (default: basic)) – method to simulate the expression dynamics
verbose (bool (default: False)) – whether to report running information
- Returns
adata – an Annodata object containing the simulated data.
- Return type
AnnData