Network theory inspired analysis of time-resolved expression data reveals key players guiding P. patens stem cell development

Hauke Busch, Melanie Boerries, Jie Bao, Sebastian T Hanke, Manuel Hiss, Theodhor Tiko, Stefan A Rensing

Research Areas and Centers

2.22-07 Medical Informatics and Medical Bioinformatics
4.43-05 Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
2.23-03 Experimental and Theoretical Network Neuroscience

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{212909e166c74f518315e9d1338d377e,

title = "Network theory inspired analysis of time-resolved expression data reveals key players guiding P. patens stem cell development",

author = "Hauke Busch and Melanie Boerries and Jie Bao and Hanke, {Sebastian T} and Manuel Hiss and Theodhor Tiko and Rensing, {Stefan A}",

year = "2013",

language = "English",

volume = "8",

pages = "e60494",

journal = "PLoS ONE",

issn = "1553-7390",

publisher = "Public Library of Science",

number = "4",

}

TY - JOUR

T1 - Network theory inspired analysis of time-resolved expression data reveals key players guiding P. patens stem cell development

AU - Busch, Hauke

AU - Boerries, Melanie

AU - Bao, Jie

AU - Hanke, Sebastian T

AU - Hiss, Manuel

AU - Tiko, Theodhor

AU - Rensing, Stefan A

PY - 2013

Y1 - 2013

M3 - Journal articles

SN - 1553-7390

VL - 8

SP - e60494

JO - PLoS ONE

JF - PLoS ONE

IS - 4

ER -