Abstract
Advancements in pathway-based microarray classification approach leads to a new era of genomic research. However, it is limited by issues regarding the quality of the pathway data as these data are usually curated from biological literatures and in specific biological experiment (e.g. lung cancer experiment), context free pathway information collection process lead to the presence of uninformative genes in the pathways. Many methods in this approach neglect these limitations by treating all genes in a pathway as significant. In this paper, we propose a hybrid of support vector machine and smoothly clipped absolute deviation with group-specific tuning parameters (gSVM-SCAD) to select informative genes within pathways before the pathway evaluation process. Experiments conducted on gender and lung cancer datasets shows that gSVM-SCAD obtains significant results in identifying significant genes and pathways, and in classification accuracy.
| Original language | English |
|---|---|
| Title of host publication | Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops |
| Subtitle of host publication | DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Revised Selected Papers |
| Pages | 258-269 |
| Number of pages | 12 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013 - Gold Coast, QLD, Australia Duration: Apr 14 2013 → Apr 17 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 7867 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013 |
|---|---|
| Country/Territory | Australia |
| City | Gold Coast, QLD |
| Period | 4/14/13 → 4/17/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Gene selection
- Pathway analysis
- Smoothly clipped absolute deviation
- Support vector machines
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
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