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BMCBI
2008
95views more  BMCBI 2008»
15 years 4 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
BMCBI
2006
91views more  BMCBI 2006»
15 years 4 months ago
Cheminformatics methods for novel nanopore analysis of HIV DNA termini
Background: Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This informat...
Stephen Winters-Hilt, Matthew Landry, Mark Akeson,...
BMCBI
2006
121views more  BMCBI 2006»
15 years 4 months ago
Robust computational reconstitution - a new method for the comparative analysis of gene expression in tissues and isolated cell
Background: Biological tissues consist of various cell types that differentially contribute to physiological and pathophysiological processes. Determining and analyzing cell type-...
Martin Hoffmann, Dirk Pohlers, Dirk Koczan, Hans-J...
TCBB
2008
93views more  TCBB 2008»
15 years 4 months ago
2SNP: Scalable Phasing Method for Trios and Unrelated Individuals
Emerging microarray technologies allow affordable typing of very long genome sequences. A key challenge in analyzing of such huge amount of data is scalable and accurate computatio...
Dumitru Brinza, Alexander Zelikovsky
BMCBI
2005
190views more  BMCBI 2005»
15 years 4 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry