Computational methods with applications in bioinformatics analysis

by Ng, Ka-Lok Tsai, Jeffrey J. P.

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Title Statements

Full title :Computational methods with applications in bioinformatics analysis / editors, Jeffrey J.P. Tsai, Ka-Lok Ng, Asia University, Taiwan.

Edition Statements

Publication Date:2017

Publication Statements

Publisher(s):World Scientific
Place of Publication:New Jersey
Language:eng
Publication Date:2017

Notes

Versement en lot.

The Physical Object

Description:1 ressource en ligne.

Edition Identifiers

ISBN:9789813207981, 9789813207998, 9813207981, 981320799X
oclc:on1023766049
LC Classification:QH324.2
Dewey Decimal:570.285

Preface; Acknowledgment; About the Authors; List of Contributors; Chapter 1. Unsupervised clustering of time series gene expression data based on spectrum processing and autoregressive modeling; 1.1 Introduction; 1.2 Literature Review; 1.2.1 Cluster Analysis of Time Series Gene Expression; 1.2.2 Clustering Algorithm; 1.2.2.1 K-Means; 1.2.2.2 Hierarchical; 1.2.2.3 SOM; 1.2.2.4 CRC; 1.3 Methods; 1.3.1 Data Processing Algorithm; 1.3.2 Data Preprocessing; 1.3.3 Spectrum Transform; 1.3.4 Singular Value Decomposition; 1.3.5 Autoregressive Modeling; 1.4 Experimental Results and Analysis.

1.4.1 Evaluation Methods; 1.4.1.1 Silhouette Index; 1.4.1.2 Wilcoxon Rank-Sum Test; 1.4.2 Experimental Data; 1.4.2.1 Dataset #1: AD400_10_10 (Bandyopadhyay et al. [2]); 1.4.2.2 Dataset #2: Human Fibroblasts Serum (Eisen et al. [12]); 1.4.2.3 Dataset #3: Yeast sporulation (Chu et al. [8]); 1.4.2.4 Dataset #4: Rat CNS (Wen et al. [26]); 1.4.2.5 Dataset #5: S. cerevisiae (Cho et al. [7]); 1.4.2.6 Dataset #6: S. cerevisiae (Spellman et al. [22]); 1.4.3 Experimental Results; 1.4.3.1 Experimental Parameter Settings; 1.4.3.2 Analysis and Comparison of Experimental Results.

1.4.4 Analysis of Correlation with B…