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» The ParTriCluster Algorithm for Gene Expression Analysis
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SIAMJO
2010
127views more  SIAMJO 2010»
14 years 7 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
BIBE
2007
IEEE
108views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
On the Design of Oligos for Gene Synthesis
— Methods for reliable synthesis of long genes offer great promise for protein synthesis via expression of synthetic genes, with applications to improved analysis of protein stru...
Chris Thachuk, Anne Condon
99
Voted
BMCBI
2006
115views more  BMCBI 2006»
15 years 15 days ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
99
Voted
BMCBI
2010
144views more  BMCBI 2010»
15 years 17 days ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
111
Voted
BCB
2010
138views Bioinformatics» more  BCB 2010»
14 years 7 months ago
Comparative analysis of biclustering algorithms
Biclustering is a very popular method to identify hidden co-regulation patterns among genes. There are numerous biclustering algorithms designed to undertake this challenging task...
Doruk Bozdag, Ashwin S. Kumar, Ümit V. &Ccedi...