108 search results - page 3 / 22 » Biological Data Mining for Genomic Clustering Using Unsuperv... |
ISMB
2000
13 years 6 months ago
2000
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
NPL
2000
13 years 4 months ago
2000
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
ISNN
2004
Springer
13 years 10 months ago
2004
Springer
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
ALMOB
2008
13 years 4 months ago
2008
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...