Single-cell RNA sequencing (scRNA-seq) technologies are poised to reshape the current cell-type classification system. However, a transcriptome-based single-cell atlas has not been achieved for complex mammalian systems...
Read More »Researchers use single-cell RNA-Seq to dissect the cellular heterogeneity of the human placenta
The human placenta is a dynamic and heterogeneous organ critical in the establishment of the fetomaternal interface and the maintenance of gestational well-being. It is also the major source of cell-free fetal nucleic acids in the maternal circulation. Placental dysfunction ...
Read More »A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
The ability to quantify cellular heterogeneity is a major advantage of single-cell technologies. However, statistical methods often treat cellular heterogeneity as a nuisance. Researchers from the Dana-Farber Cancer Institute and the University of Wisconsin, Madison present a novel method to ...
Read More »Beyond comparisons of means: understanding changes in gene expression at the single-cell level
Traditional differential expression tools are limited to detecting changes in overall expression, and fail to uncover the rich information provided by single-cell level data sets. Researchers at the Cambridge Institute of Public Health have devloped a Bayesian hierarchical model that ...
Read More »scDD – A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
The ability to quantify cellular heterogeneity is a major advantage of single-cell technologies. Although understanding such heterogeneity is of primary interest in a number of studies, for convenience, statistical methods often treat cellular heterogeneity as a nuisance factor. A team ...
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