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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Autori principali: Mukhopadhyay, Anirban (Autore), Ray, Sumanta (Autore), Maulik, Ujjwal (Autore), Bandyopadhyay, Sanghamitra (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
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Accesso online:https://doi.org/10.1007/978-981-97-1631-9
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Sommario:
  • 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.