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BMCBI
2004
205views more  BMCBI 2004»
13 years 8 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
HICSS
2006
IEEE
100views Biometrics» more  HICSS 2006»
14 years 2 months ago
The Impact of Social Types within Information Communities: Findings from Technical Newsgroups
We explored whether Fisher and Durrance’s [11] framework of information communities applies to online technical newsgroups and the impact of particular social types on informati...
Tammara Combs Turner, Karen E. Fisher
BIOINFORMATICS
2006
96views more  BIOINFORMATICS 2006»
13 years 8 months ago
Joint estimation of calibration and expression for high-density oligonucleotide arrays
Motivation: The need for normalization in microarray experiments has been well documented in the literature. Currently, most analysis methods treat normalization and analysis as a...
Ann L. Oberg, Douglas W. Mahoney, Karla V. Ballman...
IPMI
2009
Springer
14 years 9 months ago
Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disea
The paper presents a novel statistical framework for cortical folding pattern analysis that relies on a rich multivariate descriptor of folding patterns in a region of interest (RO...
Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, ...
ESWA
2011
220views Database» more  ESWA 2011»
13 years 4 days ago
Unsupervised neural models for country and political risk analysis
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
Álvaro Herrero, Emilio Corchado, Alfredo Ji...