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100 1 _aMukhopadhyay, Anirban.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMultiobjective Optimization Algorithms for Bioinformatics
_h[electronic resource] /
_cby Anirban Mukhopadhyay, Sumanta Ray, Ujjwal Maulik, Sanghamitra Bandyopadhyay.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXV, 238 p. 56 illus., 49 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
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338 _aonline resource
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505 0 _aChapter 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.
520 _aThis 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.
541 _fUABC ;
_cPerpetuidad
650 0 _aData mining.
650 0 _aMathematical optimization.
650 0 _aBioinformatics.
650 0 _aArtificial intelligence.
650 0 _aBiology
_xTechnique.
650 0 _aGene expression.
650 0 _aBiomathematics.
650 1 4 _aData Mining and Knowledge Discovery.
650 2 4 _aOptimization.
650 2 4 _aBioinformatics.
650 2 4 _aArtificial Intelligence.
650 2 4 _aGene Expression Analysis.
650 2 4 _aMathematical and Computational Biology.
700 1 _aRay, Sumanta.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aMaulik, Ujjwal.
_eauthor.
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_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aBandyopadhyay, Sanghamitra.
_eauthor.
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_1https://orcid.org/0000-0001-6370-2083
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819716302
776 0 8 _iPrinted edition:
_z9789819716326
776 0 8 _iPrinted edition:
_z9789819716333
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-1631-9
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