Name
Abstract | ||
|---|---|---|
Cancer is currently a major cause of death, which resulted in great interest in the mechanisms of this disease, and how to prevent or cure it. Certain cytokines are spotlighted to be a key to solving this problem, since they play a role in the immune system against cancer. Thus, our goal is to analyze various cytokines and to mine their rules. In this study, we aimed to mine a common rule between anti-cancer cytokines: Interferon-gamma (INF-gamma), Tumor Necrosis Factor (TNF), Transforming Growth Factor beta (TNF-beta), Interleukin-2 (IL-2) and Interleukin-10 (IL-10). We analyzed their mRNA sequences using three kinds of algorithms: Apriori, Decision tree, and Support Vector Machine (SVM). We hope to contribute to finding new rules or hints to determine whether a certain cytokine may have anti-cancer properties, and thus help further studies concerning this subject. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/35021BIGCOMP.2015.7072836 | BigComp |
Keywords | Field | DocType |
transforming growth factor beta,rule mining,cancer,apriori,tumor necrosis factor,interleukin-10,inf-gamma,proteins,il-10,interferon-gamma,interleukin-2,anti-cancer cytokines,tnf-beta,svm,apriori algorithm,mrna sequences,support vector machine (svm),decision tree,medical computing,rna,decision trees,il2,support vector machines,tnf,polynomials,algorithm design and analysis,amino acids | Decision tree,Disease,Tumor necrosis factor alpha,Transforming growth factor beta,Computer science,Support vector machine,Apriori algorithm,Cytokine,Bioinformatics,Cancer | Conference |
ISSN | Citations | PageRank |
2375-933X | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoohyeon Cho | 1 | 0 | 0.34 |
| Yeahji Ahn | 2 | 0 | 0.34 |
| Subin Yoon | 3 | 0 | 0.34 |
| Jinwon Kwon | 4 | 0 | 0.34 |
| Taeseon Yoon | 5 | 1 | 1.71 |