Name
Title | ||
|---|---|---|
A new rule-based algorithm for identifying metabolic markers in prostate cancer using tandem mass spectrometry. |
Abstract | ||
|---|---|---|
Prostate cancer is the most prevalent tumor in males and its incidence is expected to increase as the population ages. Prostate cancer is treatable by excision if detected at an early enough stage. The challenges of early diagnosis require the discovery of novel biomarkers and tools for prostate cancer management.We developed a novel feature selection algorithm termed as associative voting (AV) for identifying biomarker candidates in prostate cancer data measured via targeted metabolite profiling MS/MS analysis. We benchmarked our algorithm against two standard entropy-based and correlation-based feature selection methods [Information Gain (IG) and ReliefF (RF)] and observed that, on a variety of classification tasks in prostate cancer diagnosis, our algorithm identified subsets of biomarker candidates that are both smaller and show higher discriminatory power than the subsets identified by IG and RF. A literature study confirms that the highest ranked biomarker candidates identified by AV have independently been identified as important factors in prostate cancer development.The algorithm can be downloaded from the following http://biomed.umit.at/page.cfm?pageid=516. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/bioinformatics/btn506 | Bioinformatics |
Keywords | Field | DocType |
prostate cancer,new rule-based algorithm,tandem mass spectrometry,prostate cancer data,novel feature selection algorithm,metabolic marker,ms analysis,correlation-based feature selection method,early diagnosis,prostate cancer development,prostate cancer diagnosis,biomarker candidate,prostate cancer management,information gain,population aging,rule based,feature selection | Population,Feature selection,Computer science,Tandem mass spectrometry,Biomarker (medicine),Correlation,Prostate cancer,Prostate,Bioinformatics,Cancer | Journal |
Volume | Issue | ISSN |
24 | 24 | 1367-4811 |
Citations | PageRank | References |
11 | 0.69 | 9 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Melanie Osl | 1 | 71 | 6.83 |
| Stephan Dreiseitl | 2 | 338 | 34.80 |
| Bernhard Pfeifer | 3 | 47 | 10.17 |
| Klaus Weinberger | 4 | 17 | 2.74 |
| Helmut Klocker | 5 | 11 | 1.37 |
| Georg Bartsch | 6 | 11 | 1.03 |
| Georg Schäfer | 7 | 11 | 1.71 |
| Bernhard Tilg | 8 | 92 | 16.57 |
| Armin Graber | 9 | 56 | 6.13 |
| Christian Baumgartner | 10 | 100 | 14.03 |