doorgaan naar inhoud
Evolutionary computation, machine learning and data mining in bioinformatics : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, proceedings Voorbeeldweergave van dit item
SluitenVoorbeeldweergave van dit item
Bezig met controle...

Evolutionary computation, machine learning and data mining in bioinformatics : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, proceedings

Auteur: Leonardo Vanneschi; William S Bush; Mario Giacobini
Uitgever: Berlin ; New York : Springer, ©2013.
Serie: Lecture notes in computer science, 7833.; LNCS sublibrary., SL 1,, Theoretical computer science and general issues.
Editie/Formaat:   eBoek : Document : Conferentie-uitgave : EngelsAlle edities en materiaalsoorten bekijken.
Database:WorldCat
Samenvatting:
This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous  Meer lezen...
Beoordeling:

(nog niet beoordeeld) 0 met beoordelingen - U bent de eerste

Onderwerpen
Meer in deze trant

 

Zoeken naar een online exemplaar

Links naar dit item

Zoeken naar een in de bibliotheek beschikbaar exemplaar

&AllPage.SpinnerRetrieving; Bibliotheken met dit item worden gezocht…

Details

Genre/Vorm: Electronic books
Conference proceedings
Congresses
Aanvullende fysieke materiaalsoort: Printed edition:
Genre: Conferentie-uitgave, Document, Internetbron
Soort document: Internetbron, Computerbestand
Alle auteurs / medewerkers: Leonardo Vanneschi; William S Bush; Mario Giacobini
ISBN: 9783642371899 3642371892 3642371884 9783642371882
OCLC-nummer: 829929865
Beschrijving: 1 online resource (xii, 215 pages) : illustrations.
Inhoud: Oral Contributions. Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases / Delaney Granizo-Mackenzie, Jason H. Moore --
Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments / Jie Tan, Gavin D. Grant, Michael L. Whitfield, Casey S. Greene --
Inferring Human Phenotype Networks from Genome-Wide Genetic Associations / Christian Darabos, Kinjal Desai, Richard Cowper-Sal·lari, Mario Giacobini --
Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests / R. Michael Sivley, Alexandra E. Fish, William S. Bush --
Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach / Soha Ahmed, Mengjie Zhang, Lifeng Peng --
Structured Populations and the Maintenance of Sex / Peter A. Whigham, Grant Dick, Alden Wright, Hamish G. Spencer --
Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding / David L. González-Álvarez, Miguel A. Vega-Rodríguez --
ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins / Khalid M. Salama, Alex A. Freitas --
Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification / Carlotta Orsenigo, Carlo Vercellis --
Supervising Random Forest Using Attribute Interaction Networks / Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas. Poster Contributions. Hybrid Genetic Algorithms for Stress Recognition in Reading / Nandita Sharma, Tom Gedeon --
Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease / Arvis Sulovari, Jeff Kiralis, Jason H. Moore --
A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies / Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez --
Mining for Variability in the Coagulation Pathway: A Systems Biology Approach / Davide Castaldi, Daniele Maccagnola, Daniela Mari, Francesco Archetti --
Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions / Timmy Manning, Paul Walsh --
An Evolutionary Approach to Wetlands Design / Marco Gaudesi, Andrea Marion, Tommaso Musner, Giovanni Squillero, Alberto Tonda --
Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application / Susanne Rosenthal, Nail El-Sourani, Markus Borschbach --
Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction / Jonathan M. Fisher, Peter Andrews, Jeff Kiralis, Nicholas A. Sinnott-Armstrong --
Emergence of Motifs in Model Gene Regulatory Networks / Marcin Zagórski.
Serietitel: Lecture notes in computer science, 7833.; LNCS sublibrary., SL 1,, Theoretical computer science and general issues.
Andere titels: EvoBIO 2013
Verantwoordelijkheid: Leonardo Vanneschi, William S. Bush, Mario Giacobini (eds.).
Meer informatie:

Fragment:

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

Beoordelingen

Beoordelingen door gebruikers
Beoordelingen van GoodReads worden opgehaald...
Bezig met opvragen DOGObooks-reviews...

Tags

U bent de eerste.
Bevestig deze aanvraag

Misschien heeft u dit item reeds aangevraagd. Selecteer a.u.b. Ok als u toch wilt doorgaan met deze aanvraag.

Gekoppelde data


<http://www.worldcat.org/oclc/829929865>
library:oclcnum"829929865"
library:placeOfPublication
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:Book
rdf:typeschema:MediaObject
rdf:valueUnknown value: dct
rdf:valueUnknown value: cnp
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:alternateName"EvoBIO 2013"@en
schema:bookFormatschema:EBook
schema:contributor
schema:contributor
schema:contributor
schema:copyrightYear"2013"
schema:creator
schema:datePublished"2013"
schema:description"This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/1211787621>
schema:genre"Electronic books"@en
schema:genre"Conference proceedings"@en
schema:inLanguage"en"
schema:isPartOf
schema:isPartOf
schema:name"Evolutionary computation, machine learning and data mining in bioinformatics 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, proceedings"@en
schema:publication
schema:publisher
schema:url
schema:workExample
schema:workExample
schema:workExample
wdrs:describedby

Content-negotiable representations

Venster sluiten

Meld u aan bij WorldCat 

Heeft u geen account? U kunt eenvoudig een nieuwe gratis account aanmaken.