Name
Title | ||
|---|---|---|
On a Possibility of Applying Interrelationship Mining to Gene Expression Data Analysis |
Abstract | ||
|---|---|---|
Interrelationship mining was proposed by the authors to extract characteristics of objects based on interrelationships between attributes. Interrelationship mining is an extension of rough set-based data mining, which enables us to extract characteristics based on comparison of values of two different attributes such that \"the value of attribute a is higher than the value of attribute b.\" In this paper, we discuss an approach of applying the interrelationship mining to bioinformatics, in particular, gene expression data analysis. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-02753-1_38 | Brain and Health Informatics |
Field | DocType | Volume |
Data mining,Rough set,Engineering | Conference | 8211 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.39 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasuo Kudo | 1 | 95 | 26.41 |
| Yoshifumi Okada | 2 | 13 | 2.93 |
| Tetsuya Murai | 3 | 186 | 42.10 |