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» Bottleneck Detection Using Statistical Intervention Analysis
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ICONIP
2007
15 years 3 months ago
Dynamical Nonstationarity Analysis of Resting EEGs in Alzheimer's Disease
The understanding of nonstationarity, from both a dynamical and a statistical point of view, has turned from a constraint on application of a specific type of analysis (e.g. spectr...
Charles-Francois Vincent Latchoumane, Emmanuel C. ...
130
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Mutual information based relevance network analysis: a Parkinson'S disease study
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
158
Voted
BMCBI
2011
14 years 9 months ago
The PathOlogist: An Automated Tool for Pathway-Centric Analysis
Background: The PathOlogist is a new tool designed to transform large sets of gene expression data into quantitative descriptors of pathway-level behavior. The tool aims to provid...
Sharon I. Greenblum, Sol Efroni, Carl F. Schaefer,...
163
Voted
BMCBI
2004
169views more  BMCBI 2004»
15 years 2 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
123
Voted
BMCBI
2008
177views more  BMCBI 2008»
15 years 2 months ago
Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...
Yuanxin Xi, David M. Rocke