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Software Tools and Algorithms for Biological Systems

  • Book
  • © 2011

Overview

Editors:
  1. Hamid R. Arabnia

    1. Dept. Computer Science, University of Georgia, Athens, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Quoc-Nam Tran

    1. , Department of Computer Science, Lamar University, Beaumont, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • All aspects of software tools and algorithms as they relate to biological systems will be covered in this book
  • This book looks at the major progress that has been made in a wide range of topics that fall under the field of biological systems
  • Important topics in the area of computer-based medical systems appear are examined
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 696)

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Table of contents (77 chapters)

  1. Front Matter

    Pages i-xli
    Download chapter PDF

  2. Computational Methods for Microarray, Gene Expression Analysis, and Gene Regulatory Networks

    1. Front Matter

      Pages 1-1
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    2. A Technical Platform for Generating Reproducible Expression Data from Streptomyces coelicolor Batch Cultivations

      • F. Battke, A. Herbig, A. Wentzel, Ø. M. Jakobsen, M. Bonin, D. A. Hodgson et al.
      Pages 3-15

    3. MiRNA Recognition with the yasMiR System: The Quest for Further Improvements

      • Daniel Pasailă, Andrei Sucilă, Irina Mohorianu, Ştefan Panţiru, Liviu Ciortuz
      Pages 17-25

    4. Top Scoring Pair Decision Tree for Gene Expression Data Analysis

      • Marcin Czajkowski, Marek Krȩtowski
      Pages 27-35

    5. Predictive Minimum Description Length Principle Approach to Inferring Gene Regulatory Networks

      • Vijender Chaitankar, Chaoyang Zhang, Preetam Ghosh, Ping Gong, Edward J. Perkins, Youping Deng
      Pages 37-43

    6. Parsimonious Selection of Useful Genes in Microarray Gene Expression Data

      • Félix F. González-Navarro, Lluís A. Belanche-Muñoz
      Pages 45-55

    7. Hierarchical Signature Clustering for Time Series Microarray Data

      • Lars Koenig, Eunseog Youn
      Pages 57-65

    8. Microarray Database Mining and Cell Differentiation Defects in Schizophrenia

      • Aurelian Radu, Gabriela Hristescu, Pavel Katsel, Vahram Haroutunian, Kenneth L. Davis
      Pages 67-74

    9. miRNA Prediction Using Computational Approach

      • A. K. Mishra, D. K. Lobiyal
      Pages 75-82

    10. Improving the Accuracy of Gene Expression Profile Classification with Lorenz Curves and Gini Ratios

      • Quoc-Nam Tran
      Pages 83-90

    11. Feature Selection in Gene Expression Data Using Principal Component Analysis and Rough Set Theory

      • Debahuti Mishra, Rajashree Dash, Amiya Kumar Rath, Milu Acharya
      Pages 91-100

    12. Dramatically Reduced Precision in Microarray Analysis Retains Quantitative Properties and Provides Additional Benefits

      • William C. Ray
      Pages 101-111

    13. Algebraic Model Checking for Boolean Gene Regulatory Networks

      • Quoc-Nam Tran
      Pages 113-122

    14. Comparative Advantages of Novel Algorithms Using MSR Threshold and MSR Difference Threshold for Biclustering Gene Expression Data

      • Shyama Das, Sumam Mary Idicula
      Pages 123-134

    15. Performance Comparison of SLFN Training Algorithms for DNA Microarray Classification

      • Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won
      Pages 135-143

    16. Clustering Microarray Data to Determine Normalization Method

      • Marie Vendettuoli, Erin Doyle, Heike Hofmann
      Pages 145-153

  3. Bioinformatics Databases, Data Mining, and Pattern Discovery Techniques

    1. Front Matter

      Pages 155-155
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    2. Estimation, Modeling, and Simulation of Patterned Growth in Extreme Environments

      • B. Strader, K. E. Schubert, M. Quintana, E. Gomez, J. Curnutt, P. Boston
      Pages 157-170

    3. Performance of Univariate Forecasting on Seasonal Diseases: The Case of Tuberculosis

      • Adhistya Erna Permanasari, Dayang Rohaya Awang Rambli, P. Dhanapal Durai Dominic
      Pages 171-179
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About this book

“Software Tools and Algorithms for Biological Systems" is composed of a collection of papers received in response to an announcement that was widely distributed to academicians and practitioners in the broad area of computational biology and software tools. Also, selected authors of accepted papers of BIOCOMP’09 proceedings (International Conference on Bioinformatics and Computational Biology: July 13-16, 2009; Las Vegas, Nevada, USA) were invited to submit the extended versions of their papers for evaluation.

Editors and Affiliations

  • Dept. Computer Science, University of Georgia, Athens, USA

    Hamid R. Arabnia

  • , Department of Computer Science, Lamar University, Beaumont, USA

    Quoc-Nam Tran

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