國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

11th International Conference on Pra...

(1998 :)

11th International Conference on Practical Applications of Computational Biology & Bioinformatics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	11th International Conference on Practical Applications of Computational Biology & Bioinformaticsedited by Florentino Fdez-Riverola ... [et al.].
其他作者:	Fdez-Riverola, Florentino.
團體作者:
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xiv, 330 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computational biologyCongresses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-60816-7
ISBN:	9783319608167$q(electronic bk.)

11th International Conference on Practical Applications of Computational Biology & Bioinformatics
11th International Conference on Practical Applications of Computational Biology & Bioinformatics[electronic resource] /edited by Florentino Fdez-Riverola ... [et al.]. - Cham :Springer International Publishing :2017. - xiv, 330 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.6162194-5357 ;. - Advances in intelligent systems and computing ;176..

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.

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)

ISBN: 9783319608167$q(electronic bk.)

Standard No.: 10.1007/978-3-319-60816-7doiSubjects--Topical Terms:

384617
Computational biology
--Congresses.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

11th International Conference on Practical Applications of Computational Biology & Bioinformatics
LDR:03159nmm a2200325 a 4500 001 517779
003 DE-He213
005 20180105152732.0
006 m d
007 cr nn 008maaau
008 180316s2017 gw s 0 eng d
020 $a 9783319608167$q(electronic bk.)
020 $a 9783319608150$q(paper)
024 7 $a 10.1007/978-3-319-60816-7 $2 doi
035 $a 978-3-319-60816-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .I61 2017
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a 11th International Conference on Practical Applications of Computational Biology & Bioinformatics $h [electronic resource] / $c edited by Florentino Fdez-Riverola ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiv, 330 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.616
505 0 $a 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 $a 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)
650 0 $a Computational biology $v Congresses. $3 384617
650 0 $a Bioinformatics $3 252566
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Computational Biology/Bioinformatics. $3 274833
700 1 $a Fdez-Riverola, Florentino. $3 787539
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in intelligent systems and computing ; $v 176. $3 567349
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-60816-7
950 $a Engineering (Springer-11647)