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Article

A United Statistical Framework for Single Cell and Bulk Sequencing Data

2017-10-19

Abstract excerpt

Recent advances in technology have enabled the measurement of RNA levels for individual cells. Compared to traditional tissue-level bulk RNA-seq data, single cell sequencing yields valuable insights about gene expression profiles for different cell types, which is potentially critical for understanding many complex human diseases. However, developing quantitative tools for such data remains challenging because of...

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Literature Corpus work
cd68cfdf-8161-5273-9d3b-6dd34c98fd12
DOI
10.1101/206532
Open publication

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A United Statistical Framework for Single Cell and Bulk Sequencing DataDOI 10.1101/206532
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