pcaReduce: hierarchical clustering of single cell transcriptional profiles
<strong>Background:</strong> Advances in single cell genomics provide a way of routinely generating transcriptomics data at the single cell level. A frequent requirement of single cell expression analysis is the identification of novel patterns of heterogeneity across single cells that m...
Main Authors: | Zurauskiene, J, Yau, C |
---|---|
Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2016
|
Similar Items
-
Single-Cell Transcriptional Profiling of Cells Derived From Regenerating Alveolar Ducts
by: Ysasi, Alexandra B, et al.
Published: (2021) -
Hierarchical Bayesian nonparametric mixture models for clustering with variable relevance determination.
by: Yau, C, et al.
Published: (2011) -
Transcriptional profiling of cells sorted by transcript abundance
by: Klemm, Sandy Lee, et al.
Published: (2015) -
A Comparison Study On Pca_Modular Pca And Lda For Face Recognition
by: Cheah, Boon Wah
Published: (2017) -
Comprehensive single-cell transcriptional profiling of the regenerative planarian Schmidtea mediterranea
by: Fincher, Christopher T.(Christopher Terry)
Published: (2021)