Multiobjective Optimization Algorithms for Bioinformatics / by Anirban Mukhopadhyay, Sumanta Ray, Ujjwal Maulik, Sanghamitra Bandyopadhyay.

Format:

Book

Author/Creator:

Mukhopadhyay, Anirban, author.

Language:

English

Subjects (All):

Data mining.

Mathematical optimization.

Bioinformatics.

Artificial intelligence.

Biology--Technique.

Biology.

Gene expression.

Biomathematics.

Data Mining and Knowledge Discovery.

Optimization.

Artificial Intelligence.

Gene Expression Analysis.

Mathematical and Computational Biology.

Local Subjects:

Data Mining and Knowledge Discovery.

Optimization.

Bioinformatics.

Artificial Intelligence.

Gene Expression Analysis.

Mathematical and Computational Biology.

Physical Description:

1 online resource (246 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This book provides an updated and in-depth introduction to the application of multiobjective optimization techniques in bioinformatics. In particular, it presents multiobjective solutions to a range of complex real-world bioinformatics problems. The authors first provide a comprehensive yet concise and self-contained introduction to relevant preliminary methodical constructions such as genetic algorithms, multiobjective optimization, data mining and several challenges in the bioinformatics domain. This is followed by several systematic applications of these techniques to real-world bioinformatics problems in the areas of gene expression and network biology. The book also features detailed theoretical and mathematical notes to facilitate reader comprehension. The book offers a valuable asset for a broad range of readers – from undergraduate to postgraduate, and as a textbook or reference work. Researchers and professionals can use the book not only to enrich their knowledge of multiobjective optimization and bioinformatics, but also as a comprehensive reference guide to applying and devising novel methods in bioinformatics and related domains.

Contents:

Chapter 1. Introduction

Chapter 2. Multiobjective Interactive Fuzzy Clustering for Gene Expression Data

Chapter 3. Multiobjective Rank Aggregation for Gene Prioritization

Chapter 4. Multiobjective Simultaneous Gene Ranking and Clustering

Chapter 5. Multiobjective Feature Selection for Identifying MicroRNA Markers

Chapter 6. Multiobjective Approach to Detection of Differentially Coexpressed Modules

Chapter 7. Multiobjective Approach to Cancer-Associated MicroRNA Module Detection

Chapter 8. Multiobjective Approach to Prediction of Protein Subcellular Locations

Chapter 9. Multiobjective Approach to Gene Ontology-based Protein-Protein Interaction Prediction

Chapter 10. Multiobjective Approach to Protein Complex Detection

Chapter 11. Multiobjective Biclustering for Analyzing HIV-1–Human Protein-Protein Interaction Network.

Notes:

Includes bibliographical references and index.

ISBN:

981-9716-31-4

OCLC:

1436833177