PeakCallerFast

class PeakCallerFast(shape, num_peaks=1000, min_distance=1, min_boundary_distance=0, min_score=None, max_score=None, batch_dims=None, shm_handler=None, **kwargs)

Bases: PeakCaller

Subdivides the score space into squares with edge length min_distance and determiens maximum value for each. In a second pass, all local maxima that are not the local maxima in a min_distance square centered around them are removed.

Attributes

PeakCallerFast.shareable

Indicate whether the analyzer can be shared across processes.

Methods

PeakCallerFast.__call__(state, scores, ...)	Update the internal parameter store based on input array.
PeakCallerFast.call_peaks(scores, **kwargs)	Call peaks in the score space.
PeakCallerFast.init_state()	Initialize the analyzer state.
PeakCallerFast.merge([results])	Merge multiple instances of PeakCaller.
PeakCallerFast.oversample_peaks(scores, ...)	Refines peaks positions in the corresponding score space.
PeakCallerFast.result(state[, fast_shape, ...])	Finalize the analysis result with optional postprocessing.