↓ Skip to main content

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Overview of attention for book
Cover of 'Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Automatic Task Decomposition for the NeuroEvolution of Augmenting Topologies (NEAT) Algorithm
  3. Altmetric Badge
    Chapter 2 Evolutionary Reaction Systems
  4. Altmetric Badge
    Chapter 3 Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization
  5. Altmetric Badge
    Chapter 4 Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm
  6. Altmetric Badge
    Chapter 5 Understanding Zooplankton Long Term Variability through Genetic Programming
  7. Altmetric Badge
    Chapter 6 Inferring Disease-Related Metabolite Dependencies with a Bayesian Optimization Algorithm
  8. Altmetric Badge
    Chapter 7 A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series
  9. Altmetric Badge
    Chapter 8 Tracking the Evolution of Cooperation in Complex Networked Populations
  10. Altmetric Badge
    Chapter 9 GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks
  11. Altmetric Badge
    Chapter 10 Comparing Multiobjective Artificial Bee Colony Adaptations for Discovering DNA Motifs
  12. Altmetric Badge
    Chapter 11 The Role of Mutations in Whole Genome Duplication
  13. Altmetric Badge
    Chapter 12 Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets
  14. Altmetric Badge
    Chapter 13 Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm
  15. Altmetric Badge
    Chapter 14 Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly
  16. Altmetric Badge
    Chapter 15 Feature Selection for Lung Cancer Detection Using SVM Based Recursive Feature Elimination Method
  17. Altmetric Badge
    Chapter 16 Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise
  18. Altmetric Badge
    Chapter 17 Artificial Immune Systems Perform Valuable Work When Detecting Epistasis in Human Genetic Datasets
  19. Altmetric Badge
    Chapter 18 A Biologically Informed Method for Detecting Associations with Rare Variants
  20. Altmetric Badge
    Chapter 19 Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners
  21. Altmetric Badge
    Chapter 20 Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor
  22. Altmetric Badge
    Chapter 21 A NSGA-II Algorithm for the Residue-Residue Contact Prediction
  23. Altmetric Badge
    Chapter 22 In Silico Infection of the Human Genome
  24. Altmetric Badge
    Chapter 23 Improving Phylogenetic Tree Interpretability by Means of Evolutionary Algorithms
Attention for Chapter 16: Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise
Altmetric Badge

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise
Chapter number 16
Book title
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Published by
Springer Berlin Heidelberg, April 2012
DOI 10.1007/978-3-642-29066-4_16
Book ISBNs
978-3-64-229065-7, 978-3-64-229066-4
Authors

Alexander V. Spirov, Nina E. Golyandina, David M. Holloway, Theodore Alexandrov, Ekaterina N. Spirova, Francisco J. P. Lopes

Editors

Mario Giacobini, Leonardo Vanneschi, William S. Bush

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 7%
Malta 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 29%
Researcher 3 21%
Student > Ph. D. Student 2 14%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 2 14%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 43%
Computer Science 5 36%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 2 14%