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» Evaluation of clustering algorithms for gene expression data
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PAMI
2007
202views more  PAMI 2007»
15 years 6 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
BMCBI
2006
374views more  BMCBI 2006»
15 years 6 months ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...
BMCBI
2005
163views more  BMCBI 2005»
15 years 6 months ago
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
164
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BMCBI
2006
131views more  BMCBI 2006»
15 years 6 months ago
Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations
Background: Microarrays measure the binding of nucleotide sequences to a set of sequence specific probes. This information is combined with annotation specifying the relationship ...
Michal J. Okoniewski, Crispin J. Miller
BMCBI
2007
139views more  BMCBI 2007»
15 years 6 months ago
Bioinformatics analysis of the early inflammatory response in a rat thermal injury model
Background: Thermal injury is among the most severe forms of trauma and its effects are both local and systemic. Response to thermal injury includes cellular protection mechanisms...
Eric Yang, Timothy Maguire, Martin L. Yarmush, Fra...