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Computational Intelligence Methods for Bioinformatics and Biostatistics

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

Table of Contents

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    Book Overview
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    Chapter 1 Management and Analysis of Protein-to-Protein Interaction Data
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    Chapter 2 The Three Steps of Clustering in the Post-Genomic Era: A Synopsis
  4. Altmetric Badge
    Chapter 3 Computational Intelligence Methods for Bioinformatics and Biostatistics
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    Chapter 4 Osmoprotectants in the Sugarcane ( Saccharum spp.) Transcriptome Revealed by in Silico Evaluation
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    Chapter 5 IP6K Gene Discovery in Plant mtDNA
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    Chapter 6 Identification and Expression of Early Nodulin in Sugarcane Transcriptome Revealed by in Silico Analysis
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    Chapter 7 An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice
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    Chapter 8 Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods
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    Chapter 9 Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy
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    Chapter 10 Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways
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    Chapter 11 Qualitative Reasoning on Systematic Gene Perturbation Experiments
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    Chapter 12 Biclustering by Resampling
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    Chapter 13 Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections
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    Chapter 14 MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking
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    Chapter 15 A Multi-relational Learning Framework to Support Biomedical Applications
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    Chapter 16 Data Driven Generation of Fuzzy Systems: An Application to Breast Cancer Detection
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    Chapter 17 A Knowledge Based Decision Support System for Bioinformatics and System Biology
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    Chapter 18 Dynamic Simulations of Pathways Downstream of ERBB-Family: Exploration of Parameter Space and Effects of Its Variation on Network Behavior
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    Chapter 19 Robustness Analysis of a Linear Dynamical Model of the Drosophila Gene Expression
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    Chapter 20 Intelligent Clinical Decision Support Systems for Non-invasive Bladder Cancer Diagnosis
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    Chapter 21 Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering
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    Chapter 22 Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods
Attention for Chapter 3: Computational Intelligence Methods for Bioinformatics and Biostatistics
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Chapter title
Computational Intelligence Methods for Bioinformatics and Biostatistics
Chapter number 3
Book title
Computational Intelligence Methods for Bioinformatics and Biostatistics
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-21946-7_3
Book ISBNs
978-3-64-221945-0, 978-3-64-221946-7
Authors

Riccardo Rizzo, Paulo J. G. Lisboa, Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri, Mooney, Catherine, Wang, Yong-Hong, Pollastri, Gianluca

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Lecturer > Senior Lecturer 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 May 2021.
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#20,721,996
of 23,321,213 outputs
Outputs from Lecture notes in computer science
#7,032
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Outputs of similar age
#172,513
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Outputs of similar age from Lecture notes in computer science
#278
of 318 outputs
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