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Computational Intelligence Methods for Bioinformatics and Biostatistics : 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers / edited by Davide Chicco, Angelo Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi, Simone Avesani, Paolo Cazzaniga
(Lecture Notes in Bioinformatics. ISSN:23666331 ; 13483)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XV, 253 p. 95 illus., 76 illus. in color : online resource
著者標目	Chicco, Davide editor Facchiano, Angelo editor Tavazzi, Erica editor Longato, Enrico editor Vettoretti, Martina editor Bernasconi, Anna editor Avesani, Simone editor Cazzaniga, Paolo editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001861	Computer Scinece R0 2005-6,2022-3				9783031208379

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一般注記	Chemical 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 Alzheimer’s 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 SARS–CoV–2 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 This 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 15–17, 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 HTTP:URL=https://doi.org/10.1007/978-3-031-20837-9
件　名	LCSH:Bioinformatics LCSH:Data mining LCSH:Signal processing LCSH:Computer networks LCSH:Machine learning LCSH:Social sciences—Data processing FREE:Bioinformatics FREE:Data Mining and Knowledge Discovery FREE:Signal, Speech and Image Processing FREE:Computer Communication Networks FREE:Machine Learning FREE:Computer Application in Social and Behavioral Sciences
分　類	LCC:QH324.2-324.25 DC23:570.285
書誌ID	EB00001249
ISBN	9783031208379