Man pages for trang1618/tdapseudotime
Temporal Phenotyping via Topological Data Analysis and Pseudo Time

add_clust_infoAdd cluster information
centroidsData frame of centroids, each row represents the mean lab...
color_clustGet cluster colors for nodes.
color_graphColor nodes of graph given coloring method.
color_vertexAdjust colors of nodes using enrichment function.
commu_clusDetect community structure based on edge igraph::betweeness.
compute_similarityCompute similarity based on trajectory
convert_id_to_nodeAssign observations (ids) to nodes in network.
cosine_sim_funcCalculate the pairwise similarity between rows of numeric...
find_trajectoriesFind trajectories in the MST All the trajectory or choose the...
get_graph_propertiesGet basic properties of graph
make_tda_graphMake igraph object by calculating adjacency, resizing nodes,...
map_tdaRun TDAMapper on a matrix of lab values
minspantreeGet minimum spanning tree from graph
node_colorDataframe mapping node to cluster and corresponding color,...
out_trajectoriesList of trajectories computed from shortest paths. output of...
pipePipe operator
processed_dataProcessed data from sim_dat
resize_nodesResize the nodes of graph given the number of points it...
scaled_lab_matMatrix of the scaled lab values of 'sim_dat'.
shortest_paths_funcFind the shortest paths.
sim_datSimulated data from github.com/aridag/TDA_PSEUDOTIME.
sim_intersectionCompute intersection similarity to assign each subject to...
sim_jaccardCompute Jaccard similarity to assign each subject to most...
sim_lengthCompute similarity based on length to assign each subject to...
weight_edgesWeight edges of a graph based on mean time of each edge.
widen_i2b2Convert i2b2 observation dataframe from long to wide.
trang1618/tdapseudotime documentation built on Feb. 9, 2021, 6:14 p.m.