Name
Abstract | ||
|---|---|---|
In our previous work, we proposed the "impactfactors" (IFs) to measure the symmetric errors indifferent microarray experiments, and integrated the IFsto the Golub and Slonim (GS) and k-nearest neighbors(kNN) classifiers. In this paper, we perform experimentswith different cancer types, which are lungadenocarcinomas and prostate cancer, to further validatethe efficiency and effectiveness of the IFs integrations interms of measurements of classification accuracy,sensitivity and specificity. For both cancer types, the IFsintegrations can be successfully improved on theclassification performance. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ITCC.2004.1286608 | ITCC (2) |
Keywords | Field | DocType |
indifferent microarray experiment,symmetric error,cancer type,heterogeneous cancer gene expression,classification accuracy,previous work,k-nearest neighbor,prostate cancer,experimentswith different cancer type,theclassification performance,ifs integrations interms,improving classification performance,cancer,error correction,classification,gene expression,data mining,k nearest neighbor,testing | Data mining,Microarray,Computer science,Gene expression,Prostate cancer,Computational biology,Cancer | Conference |
ISBN | Citations | PageRank |
0-7695-2108-8 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benny Y. M. Fung | 1 | 1 | 0.76 |
| Vincent T. Y. Ng | 2 | 504 | 122.85 |