SCENIC: single-cell regulatory network inference and clustering

被引：0

作者：

Sara Aibar

Carmen Bravo González-Blas

Thomas Moerman

Vân Anh Huynh-Thu

Hana Imrichova

Gert Hulselmans

Florian Rambow

Jean-Christophe Marine

Pierre Geurts

Jan Aerts

Joost van den Oord

Zeynep Kalender Atak

Jasper Wouters

Stein Aerts

机构：

[1] VIB Center for Brain & Disease Research,Department of Human Genetics

[2] Laboratory of Computational Biology,Department of Electrical Engineering and Computer Science

[3] KU Leuven,Department of Oncology

[4] KU Leuven ESAT/STADIUS,Department of Imaging and Pathology Translational Cell and Tissue Research

[5] VDA-lab,undefined

[6] IMEC Smart Applications and Innovation Services,undefined

[7] University of Liège,undefined

[8] VIB Center for Cancer Biology,undefined

[9] Laboratory for Molecular Cancer Biology,undefined

[10] KU Leuven,undefined

[11] KU Leuven,undefined

来源：

Nature Methods | 2017年 / 14卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

SCENIC enables simultaneous regulatory network inference and robust cell clustering from single-cell RNA-seq data.

引用

页码：1083 / 1086

页数：3

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