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» Using data mining for assessing diagnosis of breast cancer
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PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
14 years 27 days ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
ENGL
2007
130views more  ENGL 2007»
13 years 7 months ago
Wavelet Based Classification for Cancer Diagnosis
— We make use of discrete wavelets to extract distinguishing features between normal and cancerous human breast tissue fluorescence spectra. These are then used in conjunction wi...
Bhadra Mani, C. Raghavendra Rao, P. Anantha Lakshm...
IJON
2006
146views more  IJON 2006»
13 years 7 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
BMCBI
2010
122views more  BMCBI 2010»
13 years 7 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen
BMCBI
2010
127views more  BMCBI 2010»
13 years 7 months ago
SplicerAV: a tool for mining microarray expression data for changes in RNA processing
Background: Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray...
Timothy J. Robinson, Michaela A. Dinan, Mark Dewhi...