000 04602nam a22006615i 4500
001 978-981-97-1631-9
003 DE-He213
005 20240730172216.0
007 cr nn 008mamaa
008 240528s2024 si | s |||| 0|eng d
020 _a9789819716319
_9978-981-97-1631-9
024 7 _a10.1007/978-981-97-1631-9
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
082 0 4 _a006.312
_223
100 1 _aMukhopadhyay, Anirban.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9102358
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
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
650 0 _aData mining.
_93907
650 0 _aMathematical optimization.
_94112
650 0 _aBioinformatics.
_99561
650 0 _aArtificial intelligence.
_93407
650 0 _aBiology
_xTechnique.
_981520
650 0 _aGene expression.
_9102360
650 0 _aBiomathematics.
_95084
650 1 4 _aData Mining and Knowledge Discovery.
_9102361
650 2 4 _aOptimization.
_9102363
650 2 4 _aBioinformatics.
_99561
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aGene Expression Analysis.
_9102364
650 2 4 _aMathematical and Computational Biology.
_932033
700 1 _aRay, Sumanta.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9102366
700 1 _aMaulik, Ujjwal.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_98093
700 1 _aBandyopadhyay, Sanghamitra.
_eauthor.
_0(orcid)
_10000-0001-6370-2083
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9102368
710 2 _aSpringerLink (Online service)
_9102371
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 _uhttps://doi.org/10.1007/978-981-97-1631-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cEBK
999 _c88104
_d88104