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» Combined Gene Selection Methods for Microarray Data Analysis
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BMCBI
2011
14 years 3 months ago
Wavelet-based identification of DNA focal genomic aberrations from single nucleotide polymorphism arrays
Background: Copy number aberrations (CNAs) are an important molecular signature in cancer initiation, development, and progression. However, these aberrations span a wide range of...
Youngmi Hur, Hyunju Lee
CIDM
2007
IEEE
15 years 6 months ago
Mining Subspace Correlations
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
Rave Harpaz, Robert M. Haralick
BMCBI
2005
116views more  BMCBI 2005»
14 years 11 months ago
Dynamic covariation between gene expression and proteome characteristics
Background: Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to ch...
Mansour Taghavi Azar Sharabiani, Markku Siermala, ...
HIPC
2009
Springer
14 years 9 months ago
Comparing the performance of clusters, Hadoop, and Active Disks on microarray correlation computations
Abstract--Microarray-based comparative genomic hybridization (aCGH) offers an increasingly fine-grained method for detecting copy number variations in DNA. These copy number variat...
Jeffrey A. Delmerico, Nathanial A. Byrnes, Andrew ...
BMCBI
2005
102views more  BMCBI 2005»
14 years 11 months ago
Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computatio
Background: A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription...
Emmitt R. Jolly, Chen-Shan Chin, Ira Herskowitz, H...