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» Evaluation of clustering algorithms for gene expression data
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AINA
2008
IEEE
16 years 1 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh
180
Voted
BMCBI
2010
167views more  BMCBI 2010»
15 years 6 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
ICCS
2009
Springer
15 years 4 months ago
Gene Specific Co-regulation Discovery: An Improved Approach
Abstract. Discovering gene co-regulatory relationships is a new but important research problem in DNA microarray data analysis. The problem of gene specific co-regulation discovery...
Ji Zhang, Qing Liu, Kai Xu 0003
BIOINFORMATICS
2006
120views more  BIOINFORMATICS 2006»
15 years 6 months ago
Comparison of Affymetrix GeneChip expression measures
Motivation: In the Affymetrix GeneChip system, preprocessing occurs before one obtains expression level measurements. Because the number of competing preprocessing methods was lar...
Rafael A. Irizarry, Zhijin Wu, Harris A. Jaffee
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 10 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin