MarkovHC: Markov hierarchical clustering for the topological structure of high-dimensional single-cell omics data with transition pathway and critical point detection

Clustering cells and depicting the lineage relationship among cell subpopulations are fundamental tasks in single-cell omics studies. However, existing analytical methods face challenges in stratifying cells, tracking cellular trajectories, and identifying critical points of cell transitions. To ove...

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Detalles Bibliográficos
Autores principales: Wang, Zhenyi, Zhong, Yanjie, Ye, Zhaofeng, Zeng, Lang, Chen, Yang, Shi, Minglei, Yuan, Zhiyuan, Zhou, Qiming, Qian, Minping, Zhang, Michael Q
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754642/
https://www.ncbi.nlm.nih.gov/pubmed/34850940
http://dx.doi.org/10.1093/nar/gkab1132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754642/
https://www.ncbi.nlm.nih.gov/pubmed/34850940
http://dx.doi.org/10.1093/nar/gkab1132

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