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SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
14 years 11 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
BMCBI
2010
108views more  BMCBI 2010»
14 years 10 months ago
Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
BMEI
2009
IEEE
14 years 11 months ago
An Improved Probabilistic Model for Finding Differential Gene Expression
Abstract--Finding differentially expressed genes is a fundamental objective of a microarray experiment. Recently proposed method, PPLR, considers the probe-level measurement error ...
Li Zhang, Xuejun Liu
PR
2008
129views more  PR 2008»
14 years 9 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
KDD
1997
ACM
143views Data Mining» more  KDD 1997»
15 years 1 months ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert