國立高雄大學圖資館 |

Language: English

Back

Computational intelligence methods f...

(1998 :)

Computational intelligence methods for bioinformatics and biostatistics16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019 : revised selected papers /

Record Type:	Electronic resources : Monographic component part
Title/Author:	Computational intelligence methods for bioinformatics and biostatisticsedited by Paolo Cazzaniga ... [et al.].
Reminder of title:	16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019 : revised selected papers /
remainder title:	CIBB 2019
other author:	Cazzaniga, Paolo.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	xiv, 350 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computational intelligenceCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-63061-4
ISBN:	9783030630614$q(electronic bk.)

Computational intelligence methods for bioinformatics and biostatistics16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019 : revised selected papers /
Computational intelligence methods for bioinformatics and biostatistics16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019 : revised selected papers /[electronic resource] :CIBB 2019edited by Paolo Cazzaniga ... [et al.]. - Cham :Springer International Publishing :2020. - xiv, 350 p. :ill., digital ;24 cm. - Lecture notes in computer science,123130302-9743 ;. - Lecture notes in computer science ;4891..

Computational 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.

This 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.

ISBN: 9783030630614$q(electronic bk.)

Standard No.: 10.1007/978-3-030-63061-4doiSubjects--Topical Terms:

384502
Computational intelligence
--Congresses.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Computational intelligence methods for bioinformatics and biostatistics16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019 : revised selected papers /
LDR:04852nmam 22003739 a 450 001 591413
003 DE-He213
005 20201209200411.0
006 m d
007 cr nn 008maaau
008 210629s2020 sz s 0 eng d
020 $a 9783030630614$q(electronic bk.)
020 $a 9783030630607$q(paper)
024 7 $a 10.1007/978-3-030-63061-4 $2 doi
035 $a 978-3-030-63061-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2
072 7 $a PSA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a PSA $2 thema
072 7 $a UB $2 thema
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .C567 2019
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Computational intelligence methods for bioinformatics and biostatistics $h [electronic resource] : $b 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019 : revised selected papers / $c edited by Paolo Cazzaniga ... [et al.].
246 3 $a CIBB 2019
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 350 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12313
490 1 $a Lecture notes in bioinformatics
505 0 $a Computational 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.
520 $a This 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.
650 0 $a Computational intelligence $v Congresses. $3 384502
650 0 $a Bioinformatics $3 252566
650 0 $a Biometry $3 318423
650 1 4 $a Computational Biology/Bioinformatics. $3 274833
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Computers and Education. $3 274532
650 2 4 $a Machine Learning. $3 833608
700 1 $a Cazzaniga, Paolo. $3 882894
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Lecture notes in bioinformatics. $3 822007
856 4 0 $u https://doi.org/10.1007/978-3-030-63061-4
950 $a Computer Science (SpringerNature-11645)