Over the past two decades, pattern mining techniques have become an integral part of many
bioinformatics solutions. Frequent itemset mining is a popular group of pattern mining …

New knowledge is produced at a continuously increasing speed, and the list of papers,
databases and other knowledge sources that a researcher in the life sciences needs to cope …

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 …

Proline accumulation is a common physiological response of plants to various
environmental stresses. However, the physiological importance of proline accumulation in …

Current breast cancer research involves the study of many different prognosis factors:
primary tumor size, lymph node status, tumor grade, tumor receptor status, p53, and ki67 …

Most of the current algorithms for mining association rules assume that two object
subdescriptions are similar when they are exactly equal, but in many real world problems …

Frequent pattern mining is considered a key task to discover useful information. Despite the
quality of solutions given by frequent pattern mining algorithms, most of them face the …

Relationships among fourteen different biological responses (including ten signaling
pathway activities and four cytotoxicity effects) of murine macrophage (RAW264. 7) and …

Based on the hypothesis that highly expressed genes are often characterized by strong
compositional bias in terms of codon usage, there are a number of measures currently in …

Association mining is a well explored topic applied to various fields. In this article, the
associations among the genes have been identified from microarray gene expression data …