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» Generating Seeded Trees from Data Sets
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CIKM
1997
Springer
15 years 8 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
IPPS
2003
IEEE
15 years 9 months ago
Accurate Method for Fast Design of Diagnostic Oligonucleotide Probe Sets for DNA Microarrays
We present a method for the automatic generation of oligonucleotide probe sets for DNA microarrays. This approach is well suited particularly for specificity evaluation of design...
Andreas Krause, Markus Kräutner, Harald Meier
PR
2006
87views more  PR 2006»
15 years 4 months ago
Prototype reduction schemes applicable for non-stationary data sets
All of the prototype reduction schemes (PRS) which have been reported in the literature, process time-invariant data to yield a subset of prototypes that are useful in nearest-nei...
Sang-Woon Kim, B. John Oommen
BMCBI
2010
143views more  BMCBI 2010»
15 years 4 months ago
ETE: a python Environment for Tree Exploration
Background: Many bioinformatics analyses, ranging from gene clustering to phylogenetics, produce hierarchical trees as their main result. These are used to represent the relations...
Jaime Huerta-Cepas, Joaquín Dopazo, Toni Ga...
NAR
2011
188views Computer Vision» more  NAR 2011»
14 years 7 months ago
NCBI Epigenomics: a new public resource for exploring epigenomic data sets
The Epigenomics database at the National Center for Biotechnology Information (NCBI) is a new resource that has been created to serve as a comprehensive public resource for whole-...
Ian M. Fingerman, Lee McDaniel, Xuan Zhang, Walter...