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Gene association analysis: a survey of frequent pattern mining from gene expression data
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 …
Generation of DNA microarray gene expression data introduces a variety of data analysis …
[ΒΙΒΛΙΟ][B] Handbook of bioinspired algorithms and applications
This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …
the development of solutions to problems that arise in diverse problem domains. It provides …
Integrated analysis of gene expression by association rules discovery
Background Microarray technology is generating huge amounts of data about the
expression level of thousands of genes, or even whole genomes, across different …
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 …
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
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 …
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 …
negative co-regulation of genes. However, existing methods such as association rule mining …
Exploring ant-based algorithms for gene expression data analysis
OBJECTIVE: Recently, much research has been proposed using nature inspired algorithms
to perform complex machine learning tasks. Ant colony optimization (ACO) is one such …
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 …
annotation, early detection, distinction, and prediction, data mining and statistical …
[PDF][PDF] Distance-enhanced association rules for gene expression
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 …
expression is the effective production of the protein that a gene encodes. We focus on the …
Mining gene expression data using domain knowledge
Biology is now an information-intensive science and various research areas, like molecular
biology, evolutionary biology or environmental biology, heavily depend on the availability …
biology, evolutionary biology or environmental biology, heavily depend on the availability …