Name
Title | ||
|---|---|---|
Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification |
Abstract | ||
|---|---|---|
Biomarkers are molecular parameters associated with presence and severity of specific disease states. Search for biological markers of cancer in proteomic profiles is a relatively new but very active research area. This paper presents a novel approach to feature selection and thus biomarker identification. The proposed method is based on blind separation of sources and selection of features from a reduced set of components. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-24844-6_72 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
blind source separation,feature selection,rough set | Pattern recognition,Feature selection,Computer science,Rough set,Biomarker (medicine),Artificial intelligence,Independent component analysis,Blind signal separation,Machine learning,Source separation,Biomarker identification | Conference |
Volume | ISSN | Citations |
3070 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Grzegorz M. Boratyn | 1 | 73 | 6.39 |
| Tomasz G. Smolinski | 2 | 48 | 5.63 |
| Jacek M. Zurada | 3 | 2553 | 226.22 |
| Mariofanna G. Milanova | 4 | 155 | 20.19 |
| Sudeepa Bhattacharyya | 5 | 1 | 0.72 |
| Larry J. Suva | 6 | 1 | 0.72 |