160 search results - page 13 / 32 » Analyzing microarray data using quantitative association rul... |
97
Voted
DASFAA
2004
IEEE
15 years 1 months ago
2004
IEEE
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
169
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ICDE
2004
IEEE
15 years 11 months ago
2004
IEEE
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
87
Voted
ISBRA
2009
Springer
15 years 4 months ago
2009
Springer
KIM, JIHYE. Mining of Cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing. (Under the direction of Steffen Heber). Alternative splicing (AS) is an important...
AUSDM
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents a preprocessing step in mining association rules which uses tables to summarize synthetically the way variables interact by highlighting any zones which are at...
BMCBI
2006
14 years 9 months ago
2006
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...