Sciweavers

310 search results - page 46 / 62
» High-Dimensional Similarity Joins
Sort
View
ALMOB
2007
133views more  ALMOB 2007»
13 years 8 months ago
Characteristics of predictor sets found using differential prioritization
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
BMCBI
2010
243views more  BMCBI 2010»
13 years 8 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
BMCBI
2008
157views more  BMCBI 2008»
13 years 8 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 8 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty
BMCBI
2006
202views more  BMCBI 2006»
13 years 8 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...