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001470168 001__ 1470168
001470168 003__ OCoLC
001470168 005__ 20230803003405.0
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001470168 008__ 230705s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001470168 019__ $$a1388491219
001470168 020__ $$a9783031349607$$q(electronic bk.)
001470168 020__ $$a3031349601$$q(electronic bk.)
001470168 020__ $$z9783031349591
001470168 0247_ $$a10.1007/978-3-031-34960-7$$2doi
001470168 035__ $$aSP(OCoLC)1389364502
001470168 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX
001470168 049__ $$aISEA
001470168 050_4 $$aQH324.2$$b.I932 2023
001470168 08204 $$a570.285$$223/eng/20230705
001470168 1112_ $$aIWBBIO (Conference)$$n(10th :$$d2023 :$$cGran Canaria, Canary Islands)
001470168 24510 $$aBioinformatics and biomedical engineering :$$b10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings.$$nPart II /$$cIgnacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño, editors.
001470168 2463_ $$aIWBBIO 2023
001470168 264_1 $$aCham :$$bSpringer,$$c2023.
001470168 300__ $$a1 online resource (xxix, 508 pages) :$$billustrations (some color).
001470168 336__ $$atext$$btxt$$2rdacontent
001470168 337__ $$acomputer$$bc$$2rdamedia
001470168 338__ $$aonline resource$$bcr$$2rdacarrier
001470168 4901_ $$aLecture notes in bioinformatics,$$x2366-6331 ;$$v13920
001470168 4901_ $$aLecture notes in computer science ;$$v13920
001470168 4901_ $$aLNCS sublibrary. SL 8, Bioinformatics
001470168 500__ $$aIncludes author index.
001470168 5050_ $$aIntro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Feature Selection, Extraction, and Data Mining in Bioinformatics -- Agent Based Modeling of Fish Shoal Behavior -- 1 Introduction -- 2 Modeling -- 3 Methods -- 3.1 Multi agents Based Modeling and Simulation -- 4 Results and Discussion -- References -- Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation -- 1 Introduction -- 1.1 Biotelemetry -- 1.2 Fish Welfare -- 2 Dataset -- 3 Methods -- 4 Results -- 5 Conclusion -- References
001470168 5058_ $$aDetermining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Set -- 2.2 Image Pre-processing -- 2.3 Feature Extraction -- 2.4 Data Pre-processing and Resampling -- 2.5 Feature Selection -- 2.6 Model Training and Evaluation -- 3 Results -- 3.1 Data Pre-processing and Resampling -- 3.2 Feature Extraction -- 3.3 Feature Selection -- 3.4 Performance Evaluation -- 4 Discussion -- 5 Conclusion -- References -- MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model
001470168 5058_ $$a1 Introduction -- 2 Methodology -- 2.1 MetaLLM: Residue-Wise Metal Ion Prediction -- 3 Experiments and Results -- 3.1 Experimental Details -- 3.2 Result Analysis -- 4 Conclusion -- References -- Genome-Phenome Analysis -- Prediction of Functional Effects of Protein Amino Acid Mutations -- 1 Introduction -- 2 Methods -- 2.1 nsSNV Datasets -- 2.2 Protein Mutation Prediction Methodology: The Holdout- nsSNV Algorithm -- 2.3 Consensus Holdout Training and Selection -- 2.4 Extreme Learning Machine -- 2.5 Random Forests -- 3 Results -- 4 Conclusions and Future Directions -- References
001470168 5058_ $$aOptimizing Variant Calling for Human Genome Analysis: A Comprehensive Pipeline Approach -- 1 Introduction -- 2 Background -- 3 Methods -- 3.1 Reference -- 3.2 Dataset -- 3.3 Quality and Control -- 3.4 Pipeline -- 3.5 Workflow Management and Reproducibility -- 3.6 Benchmarking -- 3.7 Computational Resources -- 4 Results -- 4.1 Different Methods Performance -- 4.2 Computational Time -- 5 Discussion -- 6 Conclusion -- References -- Healthcare and Diseases -- Improving Fetal Health Monitoring: A Review of the Latest Developments and Future Directions -- 1 Introduction -- 2 Methods -- 2.1 Study Design
001470168 5058_ $$a2.2 Search Strategy -- 2.3 Inclusion Criteria -- 2.4 Selection of Studies -- 2.5 Data Analysis -- 3 Result -- 4 Discussion -- 4.1 The Development of Monitoring Devices for Fetal Well-Being -- 4.2 Algorithm for More Accurate Maternal-Fetal FHR Filtering -- 4.3 Fetal Well-Being Indicators -- 4.4 Target Users -- 5 Conclusion -- References -- Deep Learning for Parkinson's Disease Severity Stage Prediction Using a New Dataset -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Dataset Construction -- 3.3 Data Pre-processing -- 3.4 Proposed LSTM Model
001470168 506__ $$aAccess limited to authorized users.
001470168 520__ $$aThis volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.
001470168 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 5, 2023).
001470168 650_0 $$aBioinformatics$$vCongresses.
001470168 650_0 $$aBiomedical engineering$$vCongresses.
001470168 655_0 $$aElectronic books.
001470168 7001_ $$aRojas, Ignacio,$$eeditor.$$1https://orcid.org/0000-0002-1033-5635
001470168 7001_ $$aValenzuela, Olga,$$eeditor.$$1https://orcid.org/0000-0001-6034-9392
001470168 7001_ $$aRojas Ruiz, Fernando,$$eeditor.$$1https://orcid.org/0000-0002-4377-6744
001470168 7001_ $$aHerrera, Luis Javier,$$eeditor.$$1https://orcid.org/0000-0003-3220-9389
001470168 7001_ $$aOrtuño, Francisco$$q(Francisco Manuel),$$eeditor.$$1https://orcid.org/0000-0001-7424-1753
001470168 77608 $$iPrint version:$$aRojas, Ignacio$$tBioinformatics and Biomedical Engineering$$dCham : Springer International Publishing AG,c2023$$z9783031349591
001470168 830_0 $$aLecture notes in computer science.$$pLecture notes in bioinformatics.
001470168 830_0 $$aLecture notes in computer science ;$$v13920.
001470168 830_0 $$aLNCS sublibrary.$$nSL 8,$$pBioinformatics.
001470168 852__ $$bebk
001470168 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-34960-7$$zOnline Access$$91397441.1
001470168 909CO $$ooai:library.usi.edu:1470168$$pGLOBAL_SET
001470168 980__ $$aBIB
001470168 980__ $$aEBOOK
001470168 982__ $$aEbook
001470168 983__ $$aOnline
001470168 994__ $$a92$$bISE