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» On Complexity Measures for Biological Sequences
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111
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BMCBI
2010
171views more  BMCBI 2010»
14 years 9 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
2006
203views more  BMCBI 2006»
14 years 9 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...
BMCBI
2008
163views more  BMCBI 2008»
14 years 9 months ago
The Annotation, Mapping, Expression and Network (AMEN) suite of tools for molecular systems biology
Background: High-throughput genome biological experiments yield large and multifaceted datasets that require flexible and user-friendly analysis tools to facilitate their interpre...
Frédéric Chalmel, Michael Primig
78
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FCS
2006
14 years 11 months ago
Another Algorithm for Computing Longest Common Increasing Subsequence for Two Random Input Sequences
We have previously developed several algorithms which deal with different input sequence scenarios respectively. In this paper, another sequential algorithm for computing Longest ...
Yongsheng Bai, Bob P. Weems
RECOMB
2005
Springer
15 years 9 months ago
Improved Pattern-Driven Algorithms for Motif Finding in DNA Sequences
Abstract. In order to guarantee that the optimal motif is found, traditional pattern-driven approaches perform an exhaustive search over all candidate motifs of length l. We develo...
Sing-Hoi Sze, Xiaoyan Zhao