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BMCBI
2010
171views more  BMCBI 2010»
15 years 6 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
BMCBI
2008
134views more  BMCBI 2008»
15 years 6 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
BMCBI
2007
144views more  BMCBI 2007»
15 years 6 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
SOFSEM
2001
Springer
15 years 11 months ago
How Can Computer Science Contribute to Knowledge Discovery?
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
Osamu Watanabe
SCFBM
2008
91views more  SCFBM 2008»
15 years 6 months ago
Simple tools for assembling and searching high-density picolitre pyrophosphate sequence data
Background: The advent of pyrophosphate sequencing makes large volumes of sequencing data available at a lower cost than previously possible. However, the short read lengths are d...
Nicolas J. Parker, Andrew G. Parker