# cellrank.tl.kernels.PrecomputedKernel¶

class cellrank.tl.kernels.PrecomputedKernel(transition_matrix=None, adata=None, backward=False, compute_cond_num=False)[source]

Kernel which contains a precomputed transition matrix.

Parameters

Attributes

 adata Annotated data object. backward Direction of the process. condition_number Condition number of the transition matrix. kernels Get the kernels of the kernel expression, except for constants. params Parameters which are used to compute the transition matrix. transition_matrix Return row-normalized transition matrix.

Methods

 compute_transition_matrix(*args, **kwargs) Return self. Return a copy of self. read(fname) Deserialize self from a file. write(fname[, ext]) Serialize self to a file. write_to_adata([key]) Write the transition matrix and parameters used for computation to the underlying adata object.