11th International Conference on Practical Applications of Computational Biology & Bioinformatics (Record no. 76682)

000 -LEADER
fixed length control field 04518nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-60816-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214728.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170620s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319608167
-- 978-3-319-60816-7
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title 11th International Conference on Practical Applications of Computational Biology & Bioinformatics
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 330 p. 97 illus.
490 1# - SERIES STATEMENT
Series statement Advances in Intelligent Systems and Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Processing 2D gel electrophoresis images for efficient Gaussian mixture modeling -- Development of text mining tools for information retrieval from patents -- Multidimensional Feature Selection and Interaction Mining with Decision Tree based ensemble methods -- Study of the Epigenetic Signals in the Human Genome -- An Ensemble Approach for Gene Selection in Gene Expression Data -- Dissimilar Symmetric Word Pairs in the Human Genome.
520 ## - SUMMARY, ETC.
Summary, etc Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information and requires tools from the computational sciences. In the last few years, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance in boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. The PACBB’17 conference was intended to contribute to this effort and promote this fruitful interaction, with a technical program that included 39 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Further, the conference promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists).
700 1# - AUTHOR 2
Author 2 Fdez-Riverola, Florentino.
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Author 2 Mohamad, Mohd Saberi.
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Author 2 Rocha, Miguel.
700 1# - AUTHOR 2
Author 2 De Paz, Juan F.
700 1# - AUTHOR 2
Author 2 Pinto, Tiago.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-60816-7
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Koha item type eBooks
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
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-- computer
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-- rdamedia
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-- online resource
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
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-- Artificial intelligence.
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-- Bioinformatics.
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-- Computational Intelligence.
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-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational and Systems Biology.
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-- 2194-5365 ;
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