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» Tumble Tree - Reducing Complexity of the Growing Cells Appro...
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KES
2000
Springer
13 years 8 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Victoria J. Hodge, James Austin
BMCBI
2011
12 years 11 months ago
Logical Development of the Cell Ontology
Background: The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingl...
Terrence F. Meehan, Anna Maria Masci, Amina Abdull...
TCBB
2010
89views more  TCBB 2010»
13 years 2 months ago
Model Composition for Macromolecular Regulatory Networks
—Models of regulatory networks become more difficult to construct and understand as they grow in size and complexity. Large models are usually built up from smaller models, repre...
Ranjit Randhawa, Clifford A. Shaffer, John J. Tyso...
BMEI
2008
IEEE
13 years 11 months ago
A New Approach for Tree Alignment Based on Local Re-Optimization
Multiple sequence alignment is the most fundamental task in bioinformatics and computational biology. In this paper, we present a new algorithm to conduct multiple sequences align...
Feng Yue, Jijun Tang
IJCAI
2003
13 years 5 months ago
Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction
This paper presents a novel, promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions. Lookahead is the st...
David Page, Soumya Ray