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Oxford University Press (OUP), Bioinformatics, 4(29), p. 461-467

DOI: 10.1093/bioinformatics/bts714

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Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments

Journal article published in 2012 by Andrew McDavid ORCID, Greg Finak ORCID, Pratip K. Chattopadyay, Maria Dominguez, Laurie Lamoreaux, Steven S. Ma, Mario Roederer, Raphael Gottardo
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: Cell populations are never truly homogeneous; individual cells exist in biochemical states that define functional differences between them. New technology based on microfluidic arrays combined with multiplexed quantitative polymerase chain reactions now enables high-throughput single-cell gene expression measurement, allowing assessment of cellular heterogeneity. However, few analytic tools have been developed specifically for the statistical and analytical challenges of single-cell quantitative polymerase chain reactions data.