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DensityPath: an algorithm to visualize and reconstruct cell state-transition path on density landscape for single-cell RNA sequencing data
Author(s) -
Ziwei Chen,
Shaokun An,
Xiangqi Bai,
Fuzhou Gong,
Liang Ma,
Lin Wan
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty1009
Subject(s) - computer science , dimensionality reduction , path (computing) , algorithm , visualization , shortest path problem , theoretical computer science , data mining , artificial intelligence , graph , programming language
Visualizing and reconstructing cell developmental trajectories intrinsically embedded in high-dimensional expression profiles of single-cell RNA sequencing (scRNA-seq) snapshot data are computationally intriguing, but challenging.

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