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020 _a9783319608167
_9978-3-319-60816-7
024 7 _a10.1007/978-3-319-60816-7
_2doi
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072 7 _aTEC009000
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245 1 0 _a11th International Conference on Practical Applications of Computational Biology & Bioinformatics
_h[electronic resource] /
_cedited by Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel Rocha, Juan F. De Paz, Tiago Pinto.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIV, 330 p. 97 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v616
505 0 _aProcessing 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 _aBiological 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).
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aBioinformatics.
_99561
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputational and Systems Biology.
_931619
700 1 _aFdez-Riverola, Florentino.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_940088
700 1 _aMohamad, Mohd Saberi.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_940089
700 1 _aRocha, Miguel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_940090
700 1 _aDe Paz, Juan F.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_940091
700 1 _aPinto, Tiago.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_940092
710 2 _aSpringerLink (Online service)
_940093
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319608150
776 0 8 _iPrinted edition:
_z9783319608174
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v616
_940094
856 4 0 _uhttps://doi.org/10.1007/978-3-319-60816-7
912 _aZDB-2-ENG
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