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BMCBI
2008
105views more  BMCBI 2008»
15 years 6 months ago
SIGMA2: A system for the integrative genomic multi-dimensional analysis of cancer genomes, epigenomes, and transcriptomes
Background: High throughput microarray technologies have afforded the investigation of genomes, epigenomes, and transcriptomes at unprecedented resolution. However, software packa...
Raj Chari, Bradley P. Coe, Craig Wedseltoft, Marie...
BMCBI
2005
98views more  BMCBI 2005»
15 years 6 months ago
InterferenceAnalyzer: Tools for the analysis and simulation of multi-locus genetic data
Background: Good statistical models for analyzing and simulating multilocus recombination data exist but are not accessible to many biologists because their use requires reasonabl...
Lalitha Viswanath, Elizabeth A. Housworth
BMCBI
2004
158views more  BMCBI 2004»
15 years 6 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
NECO
1998
151views more  NECO 1998»
15 years 6 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
CVPR
2000
IEEE
16 years 8 months ago
Statistical cues for Domain Specific Image Segmentation with Performance Analysis
This paper investigates the use of colour and texture cues for segmentation of images within two specified domains. The first is the Sowerby dataset, which contains one hundred co...
Scott Konishi, Alan L. Yuille