Frontiers in Computational and Systems Biology

By Jianfeng Feng , Wenjiang Fu , Fengzhu Sun

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This book offers state-of-the-art research on statistical methods in molecular and systems biology, with contributions from leading experts. Each chapter discusses theoretical aspects, applications to biological problems, and possible future developments.

Full Description

  • ISBN13: 978-1-8499-6195-0
  • 428 Pages
  • User Level: Science
  • Publication Date: June 14, 2010
  • Available eBook Formats: PDF
  • eBook Price: $139.00
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Full Description
This unique volume surveys state-of-the-art research on statistical methods in molecular and systems biology, with contributions from leading experts in the field. Each chapter discusses theoretical aspects, applications to biological problems, and possible future developments. Topics and features: presents the use of thermodynamic models to analyze gene regulatory mechanisms; reviews major algorithms for RNA secondary structure prediction; discusses developments in the area of oligo arrays; examines the application of models of stochastic processes in nonequilibrium thermodynamics and biological signal transduction; describes phylogenetic footprinting methods for TFBS identification; introduces penalized regression-based methods for constructing genetic interaction or regulatory networks; investigates the specific role played by irreversible Markov processes in modeling cellular biochemical systems; explores the concept of gene modules in a transcriptional regulatory network.
Table of Contents

Table of Contents

  1. Analysis of Combinatorial Gene Regulation with Thermodynamic Models.
  2. RNA Secondary Structure Prediction and Gene Regulation by Small RNAs.
  3. Some Critical Data Quality Control Issues of Oligoarrays.
  4. Stochastic
  5. process Approach to Nonequilibrium Thermodynamics and Biological Signal Transduction.
  6. Granger Causality.
  7. Transcription Factor Binding Site Identification by Phylogenetic Footprinting.
  8. Learning Network from High
  9. dimensional Array Data.
  10. Computational Methods for Predicting Domain
  11. Domain Interactions.
  12. Irreversible Stochastic Processes, Coupled Diffusions and Systems Biochemistry.
  13. Probability Modeling and Statistical Inference in Periodic Cancer Screening.
  14. On Construction of the Smallest One
  15. sided Confidence Intervals and its Application in Identifying the Minimum Effective Dose.
  16. Group Variable Selection Methods and Their Applications in Analysis of Genomic Data.
  17. Modeling Protein
  18. Signaling Networks with Granger Causality Test.
  19. DNA Copy Number Profiling in Normal and Tumor Genomes.
  20. Spatial Disease Surveillance.
  21. From QTL Mapping to eQTL Analysis.
  22. An Evaluation of Gene Module Concepts in the Interpretation of Gene Expression Data.
  23. Readout of Spike Waves in a Microcolumn.
  24. False Positive Control for Genome
  25. wide ChIP
  26. chip Tiling Arrays.
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