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Titel:

Graphical models for zero-inflated single cell gene expression

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
Gene network, single cell gene expression, graphical model, group lasso
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
The Annals of Applied Statistics
Jahr:
2019
Band / Volume:
13
Jahr / Monat:
2019-06
Quartal:
2. Quartal
Monat:
Jun
Heft / Issue:
2
Seitenangaben Beitrag:
848-873
Sprache:
en
Volltext / DOI:
doi:10.1214/18-aoas1213
WWW:
Project Euclid
Verlag / Institution:
Institute of Mathematical Statistics
E-ISSN:
1932-6157
Publikationsdatum:
17.06.2019
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