Article

MarkovHC: Markov hierarchical clustering for the topological structure of high-dimensional single-cell omics data

2020-11-05

Abstract excerpt

Distinguishing cell types and cell states is one of the fundamental questions in single-cell studies. Meanwhile, exploring the lineage relations among cells and finding the path and critical points in the cell fate transition are also of great importance. Existing unsupervised clustering methods and lineage trajectory reconstruction methods often face several challenges such as clustering data of arbitrary shapes,...

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Literature Corpus work: 9fc0fffa-b32b-5078-86fc-dbcd9b8bf912
DOI: 10.1101/2020.11.04.368043

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