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bioRxiv · 10.1101/027870

Sphinx: modeling transcriptional heterogeneity in single-cell RNA-Seq

Jinghua Gu·Qiumei Du·Xuan Wang·Pingjian Yu·Wei Lin
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Abstract

The significance of single-cell transcription resides not only in the cumulative expression strength of the cell population but also in its heterogeneity. We propose a new model that improves the detection of changes in the transcriptional heterogeneity pattern of RNA-Seq data using two heterogeneity parameters: burst proportion and burst magnitude, whose changes are validated using RNA-FISH. Transcriptional co-bursting - governed by distinct mechanisms during myoblast proliferation and differentiation - is described here.

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Jinghua Gu, Qiumei Du, Xuan Wang, Pingjian Yu, Wei Lin. 2015-10-01. Sphinx: modeling transcriptional heterogeneity in single-cell RNA-Seq. https://doi.org/10.1101/027870

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