The rapid growth of single-cell RNA-seq studies (scRNA-seq) demands efficient data storage, processing, and analysis. Big-data technology provides a framework that facilitates the comprehensive discovery of biological signals from inter-institutional scRNA-seq datasets. There are several strategies to solve the stochastic ...
Read More »Sphinx – modeling transcriptional heterogeneity in single-cell RNA-Seq
The significance of single cell transcription resides not only in the cumulative expression strength of the cell population but also in its heterogeneity. Researchers at the Baylor Institute for Immunology Research propose a new model that improves the detection of ...
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