Single cell clustering based on cell-pair differentiability correlation and variance analysis

Abstract Motivation The rapid advancement of single cell technologies has shed new light on the complex mechanisms of cellular heterogeneity. Identification of intercellular transcriptomic heterogeneity is one of the most critical tasks in single-cell RNA-sequencing studies. Results We propose a new...

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Veröffentlicht in:	Bioinformatics 2018-11, Vol.34 (21), p.3684-3694
Hauptverfasser:	Jiang, Hao, Sohn, Lydia L, Huang, Haiyan, Chen, Luonan
Format:	Artikel
Sprache:	eng
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