Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [electronic resource] : 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 6623Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011Description: X, 183 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642203893

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

570.285 23
570.113 23

LOC classification:

QH324.2-324.25

Online resources:

Click here to access online

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2011, held in Torino, Italy, in April 2011 co-located with the Evo* 2011 events. The 12 revised full papers presented together with 7 poster papers were carefully reviewed and selected from numerous submissions. All papers included topics of interest such as biomarker discovery, cell simulation and modeling, ecological modeling, fluxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, and systems biology.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

No physical items for this record

This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2011, held in Torino, Italy, in April 2011 co-located with the Evo* 2011 events. The 12 revised full papers presented together with 7 poster papers were carefully reviewed and selected from numerous submissions. All papers included topics of interest such as biomarker discovery, cell simulation and modeling, ecological modeling, fluxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, and systems biology.

There are no comments on this title.

to post a comment.