000958953 000__ 06151cam\a2200649Ii\4500 000958953 001__ 958953 000958953 005__ 20230306152629.0 000958953 006__ m\\\\\o\\d\\\\\\\\ 000958953 007__ cr\nn\nnnunnun 000958953 008__ 201209s2020\\\\sz\a\\\\o\\\\\101\0\eng\d 000958953 019__ $$a1227393466$$a1228842859$$a1233065574 000958953 020__ $$a9783030630614$$q(electronic book) 000958953 020__ $$a3030630617$$q(electronic book) 000958953 020__ $$z9783030630607 000958953 0247_ $$a10.1007/978-3-030-63061-4$$2doi 000958953 035__ $$aSP(OCoLC)on1228649445 000958953 035__ $$aSP(OCoLC)1228649445$$z(OCoLC)1227393466$$z(OCoLC)1228842859$$z(OCoLC)1233065574 000958953 040__ $$aSFB$$beng$$erda$$cSFB$$dOCLCO$$dOCLCF$$dGW5XE$$dUKBTH$$dUPM$$dEBLCP$$dOCLCO 000958953 049__ $$aISEA 000958953 050_4 $$aQH324.2 000958953 08204 $$a570.285$$223 000958953 1112_ $$aCIBB (Meeting)$$n(16th :$$d2019 :$$cBergamo, Italy) 000958953 24510 $$aComputational intelligence methods for bioinformatics and biostatistics :$$b16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019, revised selected papers /$$cPaolo Cazzaniga, Daniela Besozzi, Ivan Merelli, Luca Manzoni (eds.). 000958953 264_1 $$aCham :$$bSpringer,$$c[2020] 000958953 300__ $$a1 online resource (xiv, 350 pages) :$$billustrations. 000958953 336__ $$atext$$btxt$$2rdacontent 000958953 337__ $$acomputer$$bc$$2rdamedia 000958953 338__ $$aonline resource$$bcr$$2rdacarrier 000958953 347__ $$atext file 000958953 347__ $$bPDF 000958953 4901_ $$aLecture notes in bioinformatics ;$$v12313 000958953 4901_ $$aLNCS sublibrary: SL8. Bioinformatics 000958953 500__ $$aInternational conference proceedings. 000958953 500__ $$aIncludes author index. 000958953 5050_ $$aComputational Intelligence Methods for Bioinformatics and Biostatistics -- A Smartphone-Based Clinical Decision Support System for Tremor Assessment -- cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models -- Effective use of evolutionary computation to parameterise an epidemiological model -- Extending knowledge on genomic data and metadata of cancer by exploiting taxonomy-based relaxed queries on domain-specific ontologies -- GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis -- Improving the Fusion of Outbreak Detection Methods with Supervised Learning -- Learning cancer drug sensitivities in large-scale screens from multi-omics data with local low-rank structure -- Mass Spectra Interpretation and the Interest of SpecFit for Identifying Uncommon Modifications -- MSAX: Multivariate symbolic aggregate approximation for time series classification -- NeoHiC: a Web Application for the Analysis of Hi-C Data 100 Random sample consensus for the robust identification of outliers in cancer data -- Solving Equations on Discrete Dynamical Systems -- SW+: On Accelerating Smith-Waterman Execution of GATK HaplotypeCaller -- Algebraic and Computational Methods for the Study of RNA Behaviour -- Algebraic Characterisation of Non-coding RNA 141 Bi-Alignments as Models of Incongruent Evolution of RNA Sequence and Secondary Structure -- Label Core for Understanding RNA Structures -- Modification of Valiant's Parsing Algorithm for the String-Searching Problem -- On Secondary Structure Analysis by Using Formal Grammars and Artificial Neural Networks -- Intelligence methods for molecular characterization and dynamics in translational medicine -- Integration of single-cell RNA-sequencing data into flux balance cellular automata -- Machine Learning in Healthcare Informatics and Medical Biology -- Characterizing bipolar disorder-associated single nucleotide polymorphisms in a large UK cohort using Association Rules -- Evaluating deep semi-supervised learning for whole-transcriptome breast cancer subtyping -- Learning Weighted Association Rules in Human Phenotype Ontology -- Network modeling and analysis of normal and cancer gene expression data -- Regularization techniques in Radiomics: A case study on the prediction of pCR in Breast Tumours and the Axilla -- Modeling and Simulation Methods for Computational Biology and Systems Medicine -- In Silico evaluation of daclizumab and vitamin D effects in Multiple Sclerosis using Agent Based Models -- Multiple Sclerosis disease: a computational approach for investigating its drug interactions -- Observability of bacterial growth models in bubble column bioreactors -- On the simulation and automatic parametrization of metabolic networks through Electronic Design Automation. 000958953 506__ $$aAccess limited to authorized users. 000958953 520__ $$aThis book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019. The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for molecular characterization medicine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine. 000958953 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 16, 2021). 000958953 650_0 $$aComputational intelligence$$vCongresses. 000958953 650_0 $$aBioinformatics$$vCongresses. 000958953 650_0 $$aBiometry$$vCongresses. 000958953 650_0 $$aOptical data processing. 000958953 650_0 $$aComputers. 000958953 650_0 $$aEducation$$xData processing. 000958953 650_0 $$aMachine learning. 000958953 7001_ $$aCazzaniga, Paolo,$$eeditor. 000958953 7001_ $$aBesozzi, Daniela,$$eeditor. 000958953 7001_ $$aMerelli, Ivan,$$eeditor. 000958953 7001_ $$aManzoni, Luca,$$eeditor. 000958953 77608 $$z3030630609 000958953 830_0 $$aLecture notes in computer science.$$pLecture notes in bioinformatics. 000958953 830_0 $$aLecture notes in computer science ;$$v12313. 000958953 830_0 $$aLNCS sublibrary.$$nSL 8,$$pBioinformatics. 000958953 852__ $$bebk 000958953 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-63061-4$$zOnline Access$$91397441.1 000958953 909CO $$ooai:library.usi.edu:958953$$pGLOBAL_SET 000958953 980__ $$aEBOOK 000958953 980__ $$aBIB 000958953 982__ $$aEbook 000958953 983__ $$aOnline 000958953 994__ $$a92$$bISE