DTW-GO Based Microarray Time Series Data Analysis for Gene-Gene Regulation Prediction
作者： Andy C. Yang , Hui-Huang Hsu
DOI: 10.1007/978-3-642-22913-8_12
关键词:
摘要: Microarray technology provides an opportunity for scientists to analyze thousands of gene expression profiles simultaneously. Due the widely use microarray technology, several research issues are discussed and analyzed such as missing value imputation or gene-gene regulation prediction. data often contain multiple values due many reasons. Effective methods in needed since algorithms analysis require a complete matrix array values. In addition, selecting informative genes from is essential while performing on large amount data. To fit this need, number were proposed various points view. However, most existing have their limitations disadvantages.
springer.com
sci-hub.st 参考文章(40)
James Clifford, Donald J. Berndt, Using dynamic time warping to find patterns in time series knowledge discovery and data mining. pp. 359- 370 ,(1994)
Micah Hamady, Erin Peden, Rob Knight, Ravinder Singh, Fast-Find: A novel computational approach to analyzing combinatorial motifs BMC Bioinformatics. ,vol. 7, pp. 1- 10 ,(2006) , 10.1186/1471-2105-7-1
Michael J. Pazzani, Eamonn J. Keogh, Derivative Dynamic Time Warping. siam international conference on data mining. pp. 1- 11 ,(2001)
Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng, Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme BMC Bioinformatics. ,vol. 7, pp. 32- 32 ,(2006) , 10.1186/1471-2105-7-32
Lap Kun Yeung, Richard Kong, Lap Keung Szeto, Hong Yan, Alan Wee-Chung Liew, Michael Yang, Measuring correlation between microarray time-series data using dominant spectral component asia pacific bioinformatics conference. pp. 309- 314 ,(2004)
Edgar Acuña, Caroline Rodriguez, The Treatment of Missing Values and its Effect on Classifier Accuracy Springer, Berlin, Heidelberg. pp. 639- 647 ,(2004) , 10.1007/978-3-642-17103-1_60
J. Tuikkala, L. Elo, O. S. Nevalainen, T. Aittokallio, Improving missing value estimation in microarray data with gene ontology Bioinformatics. ,vol. 22, pp. 566- 572 ,(2006) , 10.1093/BIOINFORMATICS/BTK019
Vladmir Filkov, Steven Skiena, Jizu Zhi, Analysis techniques for microarray time-series data research in computational molecular biology. pp. 124- 131 ,(2001) , 10.1145/369133.369183
Miew Keen Choong, David Levy, Hong Yan, None, Study of microarray time series data based on Forward-Backward Linear Prediction and Singular Value Decomposition data mining in bioinformatics. ,vol. 3, pp. 145- 159 ,(2009) , 10.1504/IJDMB.2009.024848
Laila A Nahum, Matthew T Reynolds, Zhengyuan O Wang, Jeremiah J Faith, Rahul Jonna, Zhi J Jiang, Thomas J Meyer, David D Pollock, None, EGenBio: A Data Management System for Evolutionary Genomics and Biodiversity BMC Bioinformatics. ,vol. 7, pp. 1- 5 ,(2006) , 10.1186/1471-2105-7-S2-S7