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BMCBI
2010
130views more  BMCBI 2010»
14 years 9 months ago
A statistical approach to finding overlooked genetic associations
Background: Complexity and noise in expression quantitative trait loci (eQTL) studies make it difficult to distinguish potential regulatory relationships among the many interactio...
Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, ...
BMCBI
2006
140views more  BMCBI 2006»
14 years 9 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
BMCBI
2011
14 years 4 months ago
Tiling array data analysis: a multiscale approach using wavelets
Background: Tiling array data is hard to interpret due to noise. The wavelet transformation is a widely used technique in signal processing for elucidating the true signal from no...
Alexander Karpikov, Joel S. Rozowsky, Mark Gerstei...
BMCBI
2008
121views more  BMCBI 2008»
14 years 9 months ago
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...
BMCBI
2008
128views more  BMCBI 2008»
14 years 9 months ago
Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate reg
Background: Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good...
David D. Smith, Pål Sætrom, Ola R. Sn&...