Name
Abstract | ||
|---|---|---|
Motivation: The huge growth in gene expression data calls for the implementation of automatic tools for data processing and interpretation. Results: We present a new and comprehensive machine learning data mining framework consisting in a non-linear PCA neural network for feature extraction, and probabilistic principal surfaces combined with an agglomerative approach based on Negentropy aimed at clustering gene microarray data. The method, which provides a user-friendly visualization interface, can work on noisy data with missing points and represents an automatic procedure to get, with no a priori assumptions, the number of clusters present in the data. Cell-cycle dataset and a detailed analysis confirm the biological nature of the most significant clusters. Availability: The software described here is a subpackage part of the ASTRONEURAL package and is available upon request from the corresponding author. Contact: robtag@unisa.it Supplementary information: Supplementary data are available at Bioinformatics online. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1093/bioinformatics/btk026 | Bioinformatics |
Keywords | Field | DocType |
feature extraction,data mining,gene expression,neural network,time series analysis,data processing,machine learning | Hierarchical clustering,Data mining,Data processing,Negentropy,Visualization,Computer science,Feature extraction,Probabilistic logic,Bioinformatics,Artificial neural network,Cluster analysis | Journal |
Volume | Issue | ISSN |
22 | 5 | 1367-4803 |
Citations | PageRank | References |
18 | 1.14 | 10 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Amato | 1 | 39 | 4.51 |
| Angelo Ciaramella | 2 | 111 | 20.09 |
| N. Deniskina | 3 | 24 | 4.08 |
| c del mondo | 4 | 18 | 1.82 |
| Diego Di Bernardo | 5 | 244 | 22.35 |
| Ciro Donalek | 6 | 59 | 8.85 |
| Giuseppe Longo | 7 | 78 | 16.22 |
| Giuseppe Mangano | 8 | 18 | 1.82 |
| Gennaro Miele | 9 | 70 | 6.46 |
| Giancarlo Raiconi | 10 | 118 | 15.08 |
| Antonino Staiano | 11 | 131 | 15.83 |
| Roberto Tagliaferri | 12 | 428 | 55.64 |