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BMCBI
2007
126views more  BMCBI 2007»
14 years 10 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
TMI
2002
248views more  TMI 2002»
14 years 9 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
BMCBI
2010
102views more  BMCBI 2010»
14 years 10 months ago
Quantized correlation coefficient for measuring reproducibility of ChIP-chip data
Background: Chromatin immunoprecipitation followed by microarray hybridization (ChIP-chip) is used to study protein-DNA interactions and histone modifications on a genome-scale. T...
Shouyong Peng, Mitzi I. Kuroda, Peter J. Park
BMCBI
2008
95views more  BMCBI 2008»
14 years 10 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
2008
150views more  BMCBI 2008»
14 years 10 months ago
13C labeling experiments at metabolic nonstationary conditions: An exploratory study
Background: Stimulus Response Experiments to unravel the regulatory properties of metabolic networks are becoming more and more popular. However, their ability to determine enzyme...
Sebastian Aljoscha Wahl, Katharina Nöh, Wolfg...