Integrating Proteomic, Transcriptional, and Interactome Data Reveals Hidden Components of Signaling and Regulatory Networks-Reference-Cited by-同舟云学术

Integrating Proteomic, Transcriptional, and Interactome Data Reveals Hidden Components of Signaling and Regulatory Networks

Published:2009-07-28 Issue:81 Volume:2 Page:
ISSN:1945-0877
Container-title:Science Signaling
language:en
Short-container-title:Sci. Signal.

Author:

Huang Shao-shan Carol¹,Fraenkel Ernest²³

Affiliation:

1. Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

2. Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

3. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA 02139, USA.

Abstract

Analysis of multiple “omic” data sets with a prize-collecting Steiner tree algorithm reveals components of signaling networks that are not obvious by analyzing the data individually.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Cell Biology,Molecular Biology,Biochemistry

Reference66 articles.

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3. Signaling and Circuitry of Multiple MAPK Pathways Revealed by a Matrix of Global Gene Expression Profiles

4. Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity

5. α-Synuclein Blocks ER-Golgi Traffic and Rab1 Rescues Neuron Loss in Parkinson's Models

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