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BMCBI
2008
102views more  BMCBI 2008»
15 years 6 months ago
Significance analysis of microarray for relative quantitation of LC/MS data in proteomics
Background: Although fold change is a commonly used criterion in quantitative proteomics for differentiating regulated proteins, it does not provide an estimation of false positiv...
Bryan A. P. Roxas, Qingbo Li
222
Voted

Presentation
1575views
17 years 5 months ago
Beyond Generating Transit Performance Measures: Visualizations and Statistical Analysis using Historical Data
In recent years, the use of performance measures for transit planning and operations has gained a great deal of attention, particularly as transit agencies are required to provide ...
M. Berkow, A. El-Geneidy, R.L. Bertini, D. Crout
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 9 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
174
Voted
BIOINFORMATICS
2004
119views more  BIOINFORMATICS 2004»
15 years 6 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...
BMCBI
2004
180views more  BMCBI 2004»
15 years 6 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...