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Title:

Graphical models for zero-inflated single cell gene expression

Document type:
Zeitschriftenaufsatz
Author(s):
McDavid, Andrew; Gottardo, Raphael; Simon, Noah; Drton, Mathias
Abstract:
Bulk gene expression experiments relied on aggregations of thousands of cells to measure the average expression in an organism. Advances in microfluidic and droplet sequencing now permit expression profiling in single cells. This study of cell-to-cell variation reveals that individual cells lack detectable expression of transcripts that appear abundant on a population level, giving rise to zero-inflated expression patterns. To infer gene coregulatory networks from such data, we propose a multiva...     »
Keywords:
Gene network, single cell gene expression, graphical model, group lasso
Dewey Decimal Classification:
510 Mathematik
Journal title:
The Annals of Applied Statistics
Year:
2019
Journal volume:
13
Year / month:
2019-06
Quarter:
2. Quartal
Month:
Jun
Journal issue:
2
Pages contribution:
848-873
Language:
en
Fulltext / DOI:
doi:10.1214/18-aoas1213
WWW:
Project Euclid
Publisher:
Institute of Mathematical Statistics
E-ISSN:
1932-6157
Date of publication:
17.06.2019
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