國立高雄大學圖資館 |

Language: English

Back

Computational intelligence methods f...

(1998 :)

Computational intelligence methods for bioinformatics and biostatistics11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence methods for bioinformatics and biostatisticsedited by Clelia di Serio ... [et al.].
Reminder of title:	11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014 : revised selected papers /
remainder title:	CIBB 2014
other author:	Serio, Clelia di.
corporate name:
Published:	Cham :Springer International Publishing :2015.
Description:	xiii, 314 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computational intelligenceCongresses.
Online resource:	http://dx.doi.org/10.1007/978-3-319-24462-4
ISBN:	9783319244624$q(electronic bk.)

Computational intelligence methods for bioinformatics and biostatistics11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014 : revised selected papers /
Computational intelligence methods for bioinformatics and biostatistics11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014 : revised selected papers /[electronic resource] :CIBB 2014edited by Clelia di Serio ... [et al.]. - Cham :Springer International Publishing :2015. - xiii, 314 p. :ill., digital ;24 cm. - Lecture notes in computer science,86230302-9743 ;. - Lecture notes in computer science ;4891..

GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations -- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation -- Statistical analysis of protein structural features: relationships and PCA grouping -- Consensus Clustering in Gene Expression -- Automated Detection of Fluorescent Probes in Molecular Imaging -- Applications of network-based survival analysis methods for pathways detection in cancer -- A New Feature Selection methodology for K-mers representation of DNA sequences -- The General Regression Neural Network to Classify Barcode and mini-barcode DNA -- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data -- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks.

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2014, held in Cambridge, UK, in June 2014. The 25 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers focus problems concerning computational techniques in bioinformatics, systems biology, medical informatics and biostatistics.

ISBN: 9783319244624$q(electronic bk.)

Standard No.: 10.1007/978-3-319-24462-4doiSubjects--Topical Terms:

384502
Computational intelligence
--Congresses.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Computational intelligence methods for bioinformatics and biostatistics11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014 : revised selected papers /
LDR:02487nmm a2200349 a 4500 001 476633
003 DE-He213
005 20160425104631.0
006 m d
007 cr nn 008maaau
008 160526s2015 gw s 0 eng d
020 $a 9783319244624$q(electronic bk.)
020 $a 9783319244617$q(paper)
024 7 $a 10.1007/978-3-319-24462-4 $2 doi
035 $a 978-3-319-24462-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2
072 7 $a PSA $2 bicssc
072 7 $a UB $2 bicssc
072 7 $a COM014000 $2 bisacsh
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .C567 2014
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Computational intelligence methods for bioinformatics and biostatistics $h [electronic resource] : $b 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014 : revised selected papers / $c edited by Clelia di Serio ... [et al.].
246 3 $a CIBB 2014
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiii, 314 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 8623
505 0 $a GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations -- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation -- Statistical analysis of protein structural features: relationships and PCA grouping -- Consensus Clustering in Gene Expression -- Automated Detection of Fluorescent Probes in Molecular Imaging -- Applications of network-based survival analysis methods for pathways detection in cancer -- A New Feature Selection methodology for K-mers representation of DNA sequences -- The General Regression Neural Network to Classify Barcode and mini-barcode DNA -- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data -- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks.
520 $a This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2014, held in Cambridge, UK, in June 2014. The 25 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers focus problems concerning computational techniques in bioinformatics, systems biology, medical informatics and biostatistics.
650 0 $a Computational intelligence $v Congresses. $3 384502
650 0 $a Bioinformatics $3 252566
650 0 $a Biometry $3 318423
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Computational Biology/Bioinformatics. $3 274833
650 2 4 $a Pattern Recognition. $3 273706
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Computation by Abstract Devices. $3 273703
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
700 1 $a Serio, Clelia di. $3 731309
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-24462-4
950 $a Computer Science (Springer-11645)