Explore Biological Pathways from Noisy Array Data by Directed Acyclic Boolean Networks
Author:
Affiliation:
1. Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089.
2. Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan.
Publisher
Mary Ann Liebert Inc
Subject
Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation
Link
http://www.liebertpub.com/doi/pdf/10.1089/cmb.2005.12.170
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1. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
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2. Inference of Biological Pathway from Gene Expression Profiles by Time Delay Boolean Networks;PLoS ONE;2012-08-31
3. Gene Expression Complex Networks: Synthesis, Identification, and Analysis;Journal of Computational Biology;2011-10
4. Constructing Biological Pathways by a Two-Step Counting Approach;PLoS ONE;2011-06-01
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