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Gene expression / Developmental biology / Stem cells / Gene regulatory network / Induced pluripotent stem cell / Complex network / Network controllability / Biology / Network theory / Networks


BRIEF COMMUNICATIONS ARISING Few inputs can reprogram biological networks ARISING FROM Y. Liu, J. Slotine & A. Baraba´si Nature 473, 167–[removed])
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Document Date: 2012-09-07 14:23:38

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City

Leverkusen / Cambridge / Aachen / Boston / /

Company

Prentice-Hall / Macmillan Publishers Limited. / Bayer Technology Services GmbH / A. Nonlinear Control Systems / Nonlinear Systems Laboratory / /

Country

Germany / United States / /

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Facility

Women’s Hospital / RWTH Aachen University / Northeastern University / Dana-Farber Cancer Institute / Massachusetts Institute of Technology / Graduiertenschule Aachen Institute / /

IndustryTerm

transcriptional networks / gene expression networks / biological networks / gene regulatory network / biological systems / gene regulatory networks / social networks / regulatory networks / yeast cell-cycle network / chemical networks / /

MedicalCondition

A. J. Disease / novel disease / human disease / /

Organization

Harvard Medical School / Department of Brain and Cognitive Sciences / Northeastern University / Boston / Center for Complex Network Research and Departments of Physics / Computer Science and Biology / Women’s Hospital / Graduiertenschule Aachen Institute for Advanced Study / Massachusetts Institute of Technology / RWTH Aachen University / Department of Medicine / Brigham and Women / Dana-Farber Cancer Institute / Department of Mechanical Engineering / /

Person

Franz-Josef Mu / /

Position

Author / driver / lead writer / /

ProvinceOrState

Massachusetts / /

Technology

gene expression / stem cells / Process Technology / regenerative medicine / /

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