001451662 000__ 05475cam\a2200721\i\4500
001451662 001__ 1451662
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001451662 005__ 20230310004711.0
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001451662 019__ $$a1352234021$$a1352969284
001451662 020__ $$a9783031208379$$q(electronic bk.)
001451662 020__ $$a3031208374$$q(electronic bk.)
001451662 020__ $$z9783031208362
001451662 020__ $$z3031208366
001451662 0247_ $$a10.1007/978-3-031-20837-9$$2doi
001451662 035__ $$aSP(OCoLC)1353295189
001451662 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCF$$dUKAHL$$dOCLCQ
001451662 049__ $$aISEA
001451662 050_4 $$aQH324.2
001451662 08204 $$a570.285$$223/eng/20221206
001451662 1112_ $$aCIBB (Meeting)$$n(17th :$$d2021 :$$cOnline)
001451662 24510 $$aComputational intelligence methods for bioinformatics and biostatistics :$$b17th International Meeting, CIBB 2021, virtual event, November 15-17, 2021 : revised selected papers /$$cDavide Chicco, Angelo Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi, Simone Avesani, Paolo Cazzaniga (eds.).
001451662 24630 $$aCIBB 2021
001451662 264_1 $$aCham :$$bSpringer,$$c[2022]
001451662 264_4 $$c©2022
001451662 300__ $$a1 online resource (xv, 253 pages) :$$billustrations (chiefly color).
001451662 336__ $$atext$$btxt$$2rdacontent
001451662 337__ $$acomputer$$bc$$2rdamedia
001451662 338__ $$aonline resource$$bcr$$2rdacarrier
001451662 4901_ $$aLecture notes in computer science. Lecture notes in bioinformatics ;$$v13483
001451662 4901_ $$aLNCS sublibrary: SL8 - Bioinformatics
001451662 500__ $$aInternational conference proceedings.
001451662 500__ $$aIncludes author index.
001451662 5050_ $$aChemical Neural Networks and Synthetic Cell Biotechnology: Preludes to Chemical AI -- Development of Bayesian network for multiple sclerosis risk factor interaction analysis -- Real-Time Automatic Plankton Detection, Tracking and Classification on Raw Hologram -- The first in-silico model of leg movement activity during sleep -- Transfer learning and magnetic resonance imaging techniques for deep neural network-based diagnosis of early cognitive decline and dementia -- Improving bacterial sRNA identification by combining genomic context and sequence-derived features -- High-dimensional multi-trait GWAS by reverse prediction of genotypes using machine learning methods -- A Non-Negative Matrix Tri-Factorization based Method for Predicting Antitumor Drug Sensitivity -- A Rule-based Approach for Generating Synthetic Biological Pathways -- Machine Learning Classifiers based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimers Disease using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data -- Text Mining Enhancements for Image Recognition of Gene Names and Gene Relations -- Sentence Classification to Detect Tables for Helping Extraction of Regulatory Interactions in Bacteria -- RF-Isolation: a Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification -- Summarizing Global SARSCoV2 Geographical Spread by Phylogenetic Multitype Branching Models -- Explainable AI Models for COVID-19 Diagnosis using CT-Scan Images and Clinical Data -- The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions -- Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences -- Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data -- Soft brain ageing indicators based on light-weight LeNet-like neural networks and localized 2D brain age biomarkers.
001451662 506__ $$aAccess limited to authorized users.
001451662 520__ $$aThis book constitutes revised selected papers from the 17th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2021, which was held virtually during November 1517, 2021. The 19 papers included in these proceedings were carefully reviewed and selected from 26 submissions, and they focus on bioinformatics, computational biology, health informatics, cheminformatics, biotechnology, biostatistics, and biomedical imaging.
001451662 588__ $$aDescription based on print version record.
001451662 650_0 $$aComputational intelligence$$vCongresses.
001451662 650_0 $$aBioinformatics$$vCongresses.
001451662 650_0 $$aBiometry$$vCongresses.
001451662 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001451662 655_7 $$aConference papers and proceedings.$$2lcgft
001451662 655_0 $$aElectronic books.
001451662 7001_ $$aChicco, Davide,$$eeditor.
001451662 7001_ $$aFacchiano, Angelo,$$eeditor.
001451662 7001_ $$aTavazzi, Erica,$$eeditor.
001451662 7001_ $$aLongato, Enrico,$$eeditor.
001451662 7001_ $$aVettoretti, Martina,$$eeditor.
001451662 7001_ $$aBernasconi, Anna,$$eeditor.
001451662 7001_ $$aAvesani, Simone,$$eeditor.
001451662 7001_ $$aCazzaniga, Paolo,$$eeditor.
001451662 77608 $$iPrint version:$$aCIBB (Meeting) (17th : 2021 : Online), creator.$$tComputational intelligence methods for bioinformatics and biostatistics.$$dCham : Springer, 2022$$z9783031208362$$w(OCoLC)1348994910
001451662 830_0 $$aLecture notes in computer science.$$pLecture notes in bioinformatics.
001451662 830_0 $$aLecture notes in computer science ;$$v13483.
001451662 830_0 $$aLNCS sublibrary.$$nSL 8,$$pBioinformatics.
001451662 852__ $$bebk
001451662 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20837-9$$zOnline Access$$91397441.1
001451662 909CO $$ooai:library.usi.edu:1451662$$pGLOBAL_SET
001451662 980__ $$aBIB
001451662 980__ $$aEBOOK
001451662 982__ $$aEbook
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