↓ Skip to main content

Computational Intelligence Methods for Bioinformatics and Biostatistics

Overview of attention for book
Cover of 'Computational Intelligence Methods for Bioinformatics and Biostatistics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling
  3. Altmetric Badge
    Chapter 2 Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases
  4. Altmetric Badge
    Chapter 3 Bayesian Models for the Multi-sample Time-Course Microarray Experiments
  5. Altmetric Badge
    Chapter 4 A Machine Learning Pipeline for Discriminant Pathways Identification
  6. Altmetric Badge
    Chapter 5 Discovering Hidden Pathways in Bioinformatics
  7. Altmetric Badge
    Chapter 6 Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models
  8. Altmetric Badge
    Chapter 7 Computational Intelligence Methods for Bioinformatics and Biostatistics
  9. Altmetric Badge
    Chapter 8 Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data
  10. Altmetric Badge
    Chapter 9 On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins
  11. Altmetric Badge
    Chapter 10 Integration of Biomolecular Interaction Data in a Genomic and Proteomic Data Warehouse to Support Biomedical Knowledge Discovery
  12. Altmetric Badge
    Chapter 11 Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins
  13. Altmetric Badge
    Chapter 12 Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree
  14. Altmetric Badge
    Chapter 13 DEEN: A Simple and Fast Algorithm for Network Community Detection
  15. Altmetric Badge
    Chapter 14 Self-similarity in Physiological Time Series: New Perspectives from the Temporal Spectrum of Scale Exponents
  16. Altmetric Badge
    Chapter 15 Support Vector Machines for Survival Regression
  17. Altmetric Badge
    Chapter 16 Boosted C5 Trees i-Biomarkers Panel for Invasive Bladder Cancer Progression Prediction
  18. Altmetric Badge
    Chapter 17 A Faster Algorithm for Motif Finding in Sequences from ChIP-Seq Data
  19. Altmetric Badge
    Chapter 18 Case/Control Prediction from Illumina Methylation Microarray’s β and Two-Color Channels in the Presence of Batch Effects
  20. Altmetric Badge
    Chapter 19 Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool
  21. Altmetric Badge
    Chapter 20 Genomic Annotation Prediction Based on Integrated Information
  22. Altmetric Badge
    Chapter 21 Solving Biclustering with a GRASP-Like Metaheuristic: Two Case-Studies on Gene Expression Analysis
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

2 Wikipedia pages

Readers on

120 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.
Computational Intelligence Methods for Bioinformatics and Biostatistics
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-35686-5
978-3-64-235685-8, 978-3-64-235686-5

Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 2%
Student > Ph. D. Student 1 <1%
Unknown 117 98%
Readers by discipline Count As %
Computer Science 2 2%
Engineering 1 <1%
Unknown 117 98%