PeakCallerSort

class PeakCallerSort(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

A PeakCaller subclass that first selects num_peaks highest scores.

Attributes

PeakCallerSort.shareable

Indicate whether the analyzer can be shared across processes.

Methods

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