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Multiobjective Optimization Algorithms for Bioinformatics

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...

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Bibliographic Details
Main Authors: Mukhopadhyay, Anirban, Ray, Sumanta (Author), Maulik, Ujjwal (Author), Bandyopadhyay, Sanghamitra (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2024, 2024
Edition:1st ed. 2024
Subjects:
Bioinformatics
Optimization
Gene Expression Analysis
Mathematical And Computational Biology
Artificial Intelligence
Data Mining
Biomathematics
Data Mining And Knowledge Discovery
Biology / Technique
Mathematical Optimization
Gene Expression
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of 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

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