Autor Guo, Xuan
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Documentos disponibles escritos por este autor (2)
Hacer una sugerencia Refinar búsqueda16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings / Cai, Zhipeng ; Mandoiu, Ion. ; Narasimhan, Giri ; Skums, Pavel ; Guo, Xuan
TÃtulo : 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings Tipo de documento: documento electrónico Autores: Cai, Zhipeng, ; Mandoiu, Ion., ; Narasimhan, Giri, ; Skums, Pavel, ; Guo, Xuan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 418 p. 143 ilustraciones, 110 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-57821-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Bioinformática IngenierÃa Informática Red de computadoras Inteligencia artificial IngenierÃa Informática y Redes BiologÃa Computacional y de Sistemas Ãndice Dewey: 570.285 Resumen: Este libro constituye las actas del 16.º Simposio Internacional sobre Investigación y Aplicaciones de Bioinformática, ISBRA 2020, celebrado en Moscú, Rusia, en diciembre de 2020. Los 23 artÃculos completos y 18 artÃculos breves presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 131 presentaciones. Se organizaron en secciones temáticas denominadas: análisis del genoma; Biologia de sistemas; proteómica computacional; aprendizaje automático y profundo; y análisis y metodologÃa de datos. Nota de contenido: Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples -- Signet Ring Cell Detection with Classi cation Reinforcement Detection Network -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta -- Isoform-disease association prediction by data fusion -- EpIntMC: Detecting Epistatic Interactions using Multiple Clusterings -- Improving Metagenomic Classi cation using discriminative k-mers from sequencing data -- Dilated-DenseNet For Macromolecule Classifi cation In Cryo-electron Tomography -- Ess-NEXG: Predict Essential Proteins by Constructing a Weighted -- Protein Interaction Network based on Node Embedding and XGBoost -- mapAlign: an efficient approach for mapping and aligning long reads to reference genomes -- Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer -- Testing the Agreement of Trees with Internal Labels -- SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data -- De novo prediction of drug-target interaction via Laplacian regularized Schatten-p norm minimization -- Diagnosis of ASD from rs-fMRIs based on brain dynamic networks -- miRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron -- Checking Phylogenetic Decisiveness in Theory and in Practice -- TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity -- Cancer breakpoint hotspots versus individual breakpoints prediction by machine learning models -- Integer Linear Programming Formulation for the Uni ed DuplicationLoss-Coalescence Model -- In silico-guided discovery of potential HIV-1 entry inhibitors mimicking bNAb N6: virtual screening, docking, molecular dynamics, and post-molecular modeling analysis -- Learning Structural Genetic Information via Graph Neural Embedding -- A New Network-based Tool to Analyse Competing Endogenous RNAs -- Deep Ensemble models for 16S Ribosomal Gene Classification -- Search for tandem repeats in the rst chromosome from the rice genome -- Deep Learning approach with rotate-shift invariant input to predict protein homodimer structure -- Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods -- In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer -- Identification of essential genes with NemoPro le and various machine learning models -- NemoLib: Network Motif Libraries for network motif detection and analysis -- Estimating enzyme participation in metabolic pathways for microbial communities from RNA-seq data -- Identication of Virus-Receptor Interactions based on Network Enhancement and Similarity -- Enhanced functional pathway annotations for differentiallyexpressed gene clusters -- Automated Detection of Sleep Apnea from Abdominal Respiratory Signal using Hilbert-Huang Transform -- Na/K-ATPase glutathionylation: in silico modeling of reaction mechanisms -- HiChew: a tool for TAD clustering in embryogenesis -- Generation of Hi-C maps from DNA sequence data using Deep Learning -- SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis -- Quantitative analysis of the dynamics of maternal gradients in the early Drosophila embryo -- Atom Tracking Using Cayley Graphs -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta. . En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings [documento electrónico] / Cai, Zhipeng, ; Mandoiu, Ion., ; Narasimhan, Giri, ; Skums, Pavel, ; Guo, Xuan, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 418 p. 143 ilustraciones, 110 ilustraciones en color.
ISBN : 978-3-030-57821-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Bioinformática IngenierÃa Informática Red de computadoras Inteligencia artificial IngenierÃa Informática y Redes BiologÃa Computacional y de Sistemas Ãndice Dewey: 570.285 Resumen: Este libro constituye las actas del 16.º Simposio Internacional sobre Investigación y Aplicaciones de Bioinformática, ISBRA 2020, celebrado en Moscú, Rusia, en diciembre de 2020. Los 23 artÃculos completos y 18 artÃculos breves presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 131 presentaciones. Se organizaron en secciones temáticas denominadas: análisis del genoma; Biologia de sistemas; proteómica computacional; aprendizaje automático y profundo; y análisis y metodologÃa de datos. Nota de contenido: Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples -- Signet Ring Cell Detection with Classi cation Reinforcement Detection Network -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta -- Isoform-disease association prediction by data fusion -- EpIntMC: Detecting Epistatic Interactions using Multiple Clusterings -- Improving Metagenomic Classi cation using discriminative k-mers from sequencing data -- Dilated-DenseNet For Macromolecule Classifi cation In Cryo-electron Tomography -- Ess-NEXG: Predict Essential Proteins by Constructing a Weighted -- Protein Interaction Network based on Node Embedding and XGBoost -- mapAlign: an efficient approach for mapping and aligning long reads to reference genomes -- Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer -- Testing the Agreement of Trees with Internal Labels -- SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data -- De novo prediction of drug-target interaction via Laplacian regularized Schatten-p norm minimization -- Diagnosis of ASD from rs-fMRIs based on brain dynamic networks -- miRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron -- Checking Phylogenetic Decisiveness in Theory and in Practice -- TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity -- Cancer breakpoint hotspots versus individual breakpoints prediction by machine learning models -- Integer Linear Programming Formulation for the Uni ed DuplicationLoss-Coalescence Model -- In silico-guided discovery of potential HIV-1 entry inhibitors mimicking bNAb N6: virtual screening, docking, molecular dynamics, and post-molecular modeling analysis -- Learning Structural Genetic Information via Graph Neural Embedding -- A New Network-based Tool to Analyse Competing Endogenous RNAs -- Deep Ensemble models for 16S Ribosomal Gene Classification -- Search for tandem repeats in the rst chromosome from the rice genome -- Deep Learning approach with rotate-shift invariant input to predict protein homodimer structure -- Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods -- In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer -- Identification of essential genes with NemoPro le and various machine learning models -- NemoLib: Network Motif Libraries for network motif detection and analysis -- Estimating enzyme participation in metabolic pathways for microbial communities from RNA-seq data -- Identication of Virus-Receptor Interactions based on Network Enhancement and Similarity -- Enhanced functional pathway annotations for differentiallyexpressed gene clusters -- Automated Detection of Sleep Apnea from Abdominal Respiratory Signal using Hilbert-Huang Transform -- Na/K-ATPase glutathionylation: in silico modeling of reaction mechanisms -- HiChew: a tool for TAD clustering in embryogenesis -- Generation of Hi-C maps from DNA sequence data using Deep Learning -- SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis -- Quantitative analysis of the dynamics of maternal gradients in the early Drosophila embryo -- Atom Tracking Using Cayley Graphs -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta. . En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
TÃtulo : Big Data – BigData 2020 : 9th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings Tipo de documento: documento electrónico Autores: Nepal, Surya, ; Cao, Wenqi, ; Nasridinov, Aziz, ; Bhuiyan, MD Zakirul Alam, ; Guo, Xuan, ; Zhang, Liang-Jie, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 254 p. 130 ilustraciones, 91 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-59612-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Grandes datos Ciencias sociales IngenierÃa Informática Red de computadoras Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación IngenierÃa Informática y Redes Ãndice Dewey: 005.7 Datos en sistemas de computadoras Resumen: Este libro constituye las actas de la 9.ª Conferencia Internacional sobre Big Data, BigData 2020, celebrada como parte del SCF 2020, del 18 al 20 de septiembre de 2020. Se planeó que la conferencia se llevara a cabo en Honolulu, Hawaii, EE. UU. y se cambió a una formato virtual debido a la pandemia de COVID-19. Los 16 artÃculos completos y 3 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados entre 52 presentaciones. Los temas cubiertos son Arquitectura de Big Data, Modelado de Big Data, Big Data como servicio, Big Data para industrias verticales (gobierno, atención médica, etc.), Análisis de Big Data, Conjuntos de herramientas de Big Data, Plataformas abiertas de Big Data, Análisis económico, Big Data para la transformación empresarial, Big Data en la gestión del desempeño empresarial, Big Data para innovaciones y análisis de modelos de negocio, Big Data en modelos y prácticas de gestión empresarial, Big Data en modelos y prácticas de gestión gubernamental y Big Data en soluciones Smart Planet. . Nota de contenido: Research Track -- Entropy-based Approach to Efficient Cleaning of Big Data in Hierarchical Databases -- A Performance Prediction Model for Spark Applications -- Predicting the DJIA with news headlines and historic data using hybrid genetic algorithm/support vector regression and BERT -- Big Data Applications on Large-Scale Infrastructures -- Fake News Classification of Social Media through Sentiment Analysis -- Scalable reference genome assembly from compressed pan-genome index with Spark -- A Web Application for Feral Cat Recognition through Deep Learning -- MCF：Towards Window-based Multiple Cuckoo Filters in Stream Computing -- A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems -- Ensemble learning for heterogeneous missing data imputation -- Validating Goal-Oriented Hypotheses of Business Problems Using Machine Learning: An Exploratory Study of Customer Churn -- The collaborative influence of multiple interactions on successive POI recommendation -- Application Track -- Chemical XAI to Discover Probable Compounds' Spaces based on Mixture of Multiple Mutated Exemplars and Bioassay Existence Ratio -- Clinical Trials Data Management in the Big Data Era -- Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches -- Heavy Vehicle Classification through Deep Learning -- Short Paper Track -- Spatial Association Pattern Mining using In-Memory Computational Framework -- Dissecting Biological Functions for BRCA Genes and their Targeting MicroRNAs within Eight Clusters. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i Big Data – BigData 2020 : 9th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings [documento electrónico] / Nepal, Surya, ; Cao, Wenqi, ; Nasridinov, Aziz, ; Bhuiyan, MD Zakirul Alam, ; Guo, Xuan, ; Zhang, Liang-Jie, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 254 p. 130 ilustraciones, 91 ilustraciones en color.
ISBN : 978-3-030-59612-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Grandes datos Ciencias sociales IngenierÃa Informática Red de computadoras Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación IngenierÃa Informática y Redes Ãndice Dewey: 005.7 Datos en sistemas de computadoras Resumen: Este libro constituye las actas de la 9.ª Conferencia Internacional sobre Big Data, BigData 2020, celebrada como parte del SCF 2020, del 18 al 20 de septiembre de 2020. Se planeó que la conferencia se llevara a cabo en Honolulu, Hawaii, EE. UU. y se cambió a una formato virtual debido a la pandemia de COVID-19. Los 16 artÃculos completos y 3 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados entre 52 presentaciones. Los temas cubiertos son Arquitectura de Big Data, Modelado de Big Data, Big Data como servicio, Big Data para industrias verticales (gobierno, atención médica, etc.), Análisis de Big Data, Conjuntos de herramientas de Big Data, Plataformas abiertas de Big Data, Análisis económico, Big Data para la transformación empresarial, Big Data en la gestión del desempeño empresarial, Big Data para innovaciones y análisis de modelos de negocio, Big Data en modelos y prácticas de gestión empresarial, Big Data en modelos y prácticas de gestión gubernamental y Big Data en soluciones Smart Planet. . Nota de contenido: Research Track -- Entropy-based Approach to Efficient Cleaning of Big Data in Hierarchical Databases -- A Performance Prediction Model for Spark Applications -- Predicting the DJIA with news headlines and historic data using hybrid genetic algorithm/support vector regression and BERT -- Big Data Applications on Large-Scale Infrastructures -- Fake News Classification of Social Media through Sentiment Analysis -- Scalable reference genome assembly from compressed pan-genome index with Spark -- A Web Application for Feral Cat Recognition through Deep Learning -- MCF：Towards Window-based Multiple Cuckoo Filters in Stream Computing -- A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems -- Ensemble learning for heterogeneous missing data imputation -- Validating Goal-Oriented Hypotheses of Business Problems Using Machine Learning: An Exploratory Study of Customer Churn -- The collaborative influence of multiple interactions on successive POI recommendation -- Application Track -- Chemical XAI to Discover Probable Compounds' Spaces based on Mixture of Multiple Mutated Exemplars and Bioassay Existence Ratio -- Clinical Trials Data Management in the Big Data Era -- Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches -- Heavy Vehicle Classification through Deep Learning -- Short Paper Track -- Spatial Association Pattern Mining using In-Memory Computational Framework -- Dissecting Biological Functions for BRCA Genes and their Targeting MicroRNAs within Eight Clusters. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
