108 search results - page 1 / 22 » Biological Data Mining for Genomic Clustering Using Unsuperv... |
ENGL
2007
13 years 4 months ago
2007
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
MLMTA
2007
13 years 6 months ago
2007
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...