Gene association analysis: a survey of frequent pattern mining from gene expression data

R Alves, DS Rodriguez-Baena… - Briefings in …, 2010 - academic.oup.com
Establishing an association between variables is always of interest in genomic studies.
Generation of DNA microarray gene expression data introduces a variety of data analysis …

[ΒΙΒΛΙΟ][B] Handbook of bioinspired algorithms and applications

S Olariu, AY Zomaya - 2005 - books.google.com
This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …

Integrated analysis of gene expression by association rules discovery

P Carmona-Saez, M Chagoyen, A Rodriguez… - BMC …, 2006 - Springer
Background Microarray technology is generating huge amounts of data about the
expression level of thousands of genes, or even whole genomes, across different …

Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining

Z Huang, J Li, H Su, GS Watts, H Chen - Decision Support Systems, 2007 - Elsevier
We present two algorithms for learning large-scale gene regulatory networks from
microarray data: a modified information-theory-based Bayesian network algorithm and a …

Handling very large numbers of association rules in the analysis of microarray data

A Tuzhilin, G Adomavicius - Proceedings of the eighth ACM SIGKDD …, 2002 - dl.acm.org
The problem of analyzing microarray data became one of important topics in bioinformatics
over the past several years, and different data mining techniques have been proposed for …

Mining gene expression data for positive and negative co-regulated gene clusters

L Ji, KL Tan - Bioinformatics, 2004 - academic.oup.com
Motivation: Analysis of gene expression data can provide insights into the positive and
negative co-regulation of genes. However, existing methods such as association rule mining …

Exploring ant-based algorithms for gene expression data analysis

Y He, SC Hui - Artificial Intelligence in Medicine, 2009 - Elsevier
OBJECTIVE: Recently, much research has been proposed using nature inspired algorithms
to perform complex machine learning tasks. Ant colony optimization (ACO) is one such …

Association rule based similarity measures for the clustering of gene expression data

P Sethi, S Alagiriswamy - The open medical informatics …, 2010 - pmc.ncbi.nlm.nih.gov
In life threatening diseases, such as cancer, where the effective diagnosis includes
annotation, early detection, distinction, and prediction, data mining and statistical …

[PDF][PDF] Distance-enhanced association rules for gene expression

A Icev, C Ruiz, EF Ryder - Proceedings of the 3rd …, 2003 - helios2.mi.parisdescartes.fr
We introduce a novel data mining technique for the analysis of gene expression. Gene
expression is the effective production of the protein that a gene encodes. We focus on the …

Mining gene expression data using domain knowledge

N Pasquier, C Pasquier, L Brisson… - International Journal of …, 2008 - hal.science
Biology is now an information-intensive science and various research areas, like molecular
biology, evolutionary biology or environmental biology, heavily depend on the availability …