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» Optimizing Area Under Roc Curve with SVMs
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BMCBI
2008
167views more  BMCBI 2008»
13 years 7 months ago
Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
Background: Most microarray experiments are carried out with the purpose of identifying genes whose expression varies in relation with specific conditions or in response to enviro...
Stefano Parodi, Vito Pistoia, Marco Muselli
ICPR
2004
IEEE
14 years 8 months ago
Sample Size Estimation using the Receiver Operating Characteristic Curve
In this paper we describe two related approaches to estimating the sample sizes required to statistically compare the performance of two classifiers: acceptable failure rates (AFR...
Andrew P. Bradley, I. Dennis Longstaff
CSDA
2007
136views more  CSDA 2007»
13 years 7 months ago
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
The maximum rank correlation (MRC) estimator was originally studied by Han [1987. Nonparametric analysis of a generalized regression model. J. Econometrics 35, 303–316] and Sher...
Hansheng Wang
ISBI
2006
IEEE
14 years 8 months ago
Classification of galactograms using fractal properties of the breast ductal network
Several types of breast carcinomas tend to spread along the surface of the ductal lumen. Spontaneous nipple discharge can be an early symptom of such cancer development that does ...
Despina Kontos, Vasileios Megalooikonomou, Ailar J...
DICTA
2007
13 years 9 months ago
K-means Clustering for Classifying Unlabelled MRI Data
Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
Gobert N. Lee, Hiroshi Fujita