Systems Biology of Glucocorticoids in Muscle Disease

Abstract

We have successfully developed and tested the computational genetic network reconstruction algorithms proposed in Aim 1a. Using simulation data, we showed that methods are very effective in reducing noise and estimating regulatory strength and relationship among genes. We believe that our proposed methods are very suitable to the analysis of in vivo transcriptional microarray time series data where various sources of variability in the biological experiments lead to enormous amount of noise. We have been working on identifying gene modules that have significant and distinct change pattern due to the stimulation of glucocorticoids. This step may significantly alleviate the curse of dimensionality. We performed pilot studies on repeated myotoxin injection, BrdU labeling and assessing fiber size distribution in damaged muscle. The results from these experiments are very important and valuable to our ongoing and future study and experiments.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2010
Accession Number
ADA548681

Entities

People

  • Zuyi Wang

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Bayesian Inference
  • Bayesian Networks
  • Computational Biology
  • Computational Science
  • Diseases And Disorders
  • Feature Extraction
  • Mathematics
  • Models
  • Pilot Studies
  • Probability
  • Probability Distributions
  • Signal Processing
  • Simulations
  • Systems Biology
  • Wavelet Transforms

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Distributed Systems and Data Platform Development
  • Regression Analysis.

Technology Areas

  • Biotechnology