trajectory_landmarks: determining initial trajectory and landmarks

In JinmiaoChenLab/uSORT: uSORT: A self-refining ordering pipeline for gene selection

Description

determining initial trajectory and landmarks

Usage

trajectory_landmarks(knn, data, s, partial_order = NULL, waypoints = 250,
  waypoints_seed = 123, metric = "euclidean", flock_waypoints = 2,
  band_sample = FALSE)

Arguments

knn	A sparse matrix of knn.
data	data.
s	The ID of starting point.
partial_order	A vector of IDs specified as recommended waypoints, NULL to ignore.
waypoints	Either the number of waypoints, or specify the waypoint IDs.
waypoints_seed	Random sampling seed, for reproducible results.
metric	Distance calculation metric for nearest neighbour detection.
flock_waypoints	Iteration of using nearest points around waypoint to adjust its position.
band_sample	if give more chance to nearest neighbours of starting point in randomly waypoints selection.

Value

a list

JinmiaoChenLab/uSORT documentation built on May 7, 2019, 10:53 a.m.