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» The ParTriCluster Algorithm for Gene Expression Analysis
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93
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KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 25 days ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
BMCBI
2007
130views more  BMCBI 2007»
15 years 13 days ago
Differential analysis for high density tiling microarray data
Background: High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method emp...
Srinka Ghosh, Heather A. Hirsch, Edward A. Sekinge...
119
Voted
BMCBI
2007
126views more  BMCBI 2007»
15 years 13 days ago
Multiple non-collinear TF-map alignments of promoter regions
Background: The analysis of the promoter sequence of genes with similar expression patterns is a basic tool to annotate common regulatory elements. Multiple sequence alignments ar...
Enrique Blanco, Roderic Guigó, Xavier Messe...
JMLR
2006
79views more  JMLR 2006»
15 years 11 days ago
Estimation of Gradients and Coordinate Covariation in Classification
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
Sayan Mukherjee, Qiang Wu
92
Voted
JMLR
2006
97views more  JMLR 2006»
15 years 11 days ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou