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» Analysis techniques for microarray time-series data
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WABI
2004
Springer
132views Bioinformatics» more  WABI 2004»
14 years 1 months ago
Joint Analysis of DNA Copy Numbers and Gene Expression Levels
Abstract. Genomic instabilities, amplifications, deletions and translocations are often observed in tumor cells. In the process of cancer pathogenesis cells acquire multiple genom...
Doron Lipson, Amir Ben-Dor, Elinor Dehan, Zohar Ya...
VLDB
2004
ACM
143views Database» more  VLDB 2004»
14 years 1 months ago
GPX: Interactive Mining of Gene Expression Data
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
Daxin Jiang, Jian Pei, Aidong Zhang
CSB
2005
IEEE
156views Bioinformatics» more  CSB 2005»
14 years 2 months ago
A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
SADM
2010
173views more  SADM 2010»
13 years 3 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
BMCBI
2010
115views more  BMCBI 2010»
13 years 8 months ago
Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...