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» The ParTriCluster Algorithm for Gene Expression Analysis
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99
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BMCBI
2007
139views more  BMCBI 2007»
15 years 14 days ago
Significance analysis of microarray transcript levels in time series experiments
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
Barbara Di Camillo, Gianna Toffolo, Sreekumaran K....
106
Voted
BMCBI
2007
148views more  BMCBI 2007»
15 years 14 days ago
WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequences
Background: This work addresses the problem of detecting conserved transcription factor binding sites and in general regulatory regions through the analysis of sequences from homo...
Giulio Pavesi, Federico Zambelli, Graziano Pesole
COCOA
2009
Springer
15 years 5 months ago
Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting
Discovering groups of genes that share common expression profiles is an important problem in DNA microarray analysis. Unfortunately, standard bi-clustering algorithms often fail t...
Yi Shi, Zhipeng Cai, Guohui Lin, Dale Schuurmans
BMCBI
2010
97views more  BMCBI 2010»
15 years 17 days ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...
BMCBI
2010
178views more  BMCBI 2010»
15 years 17 days ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...