Quantitative multivariate analysis of dynamic multicellular morphogenic trajectories-Reference-Cited by-同舟云学术

Quantitative multivariate analysis of dynamic multicellular morphogenic trajectories

Published:2015 Issue:7 Volume:7 Page:825-833
ISSN:1757-9694
Container-title:Integrative Biology
language:en
Short-container-title:Integr. Biol.

Author:

White Douglas E.¹²³⁴,Sylvester Jonathan B.⁵⁶³⁴,Levario Thomas J.⁷³⁴,Lu Hang¹²³⁴⁵,Todd Streelman J.⁵⁶³⁴⁸,McDevitt Todd C.¹²³⁴⁵,Kemp Melissa L.¹²³⁴⁸

Affiliation:

1. The Wallace H. Coulter Department of Biomedical Engineering

2. Georgia Institute of Technology and Emory University

3. Atlanta

4. USA

5. School of Biology

6. Georgia Institute of Technology

7. School of Chemical and Biomolecular Engineering

8. The Parker H. Petit Institute of Bioengineering and Bioscience

Abstract

A modular pattern identification algorithm enables comparisons across different data formats, different multicellular systems, and between experiment and simulation through quantitative network analysis.

Funder

Division of Integrative Organismal Systems

Division of Chemical, Bioengineering, Environmental, and Transport Systems

National Institutes of Health

Division of Graduate Education

Publisher

Oxford University Press (OUP)

Subject

Biochemistry,Biophysics

Link

http://pubs.rsc.org/en/content/articlepdf/2015/IB/C5IB00072F

Reference48 articles.

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