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BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 3 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
BMCBI
2010
155views more  BMCBI 2010»
15 years 3 months ago
BISMA - Fast and accurate bisulfite sequencing data analysis of individual clones from unique and repetitive sequences
Background: Bisulfite sequencing is a popular method to analyze DNA methylation patterns at high resolution. A region of interest is targeted by PCR and about 20-50 subcloned DNA ...
Christian Rohde, Yingying Zhang, Richard Reinhardt...
BMCBI
2010
218views more  BMCBI 2010»
15 years 3 months ago
Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets
Background: Solving bioinformatics tasks often requires extensive computational power. Recent trends in processor architecture combine multiple cores into a single chip to improve...
Michael Scharfe, Rainer Pielot, Falk Schreiber
BMCBI
2010
149views more  BMCBI 2010»
15 years 3 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
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PRL
2006
96views more  PRL 2006»
15 years 2 months ago
Fast codebook search algorithms based on tree-structured vector quantization
Tree-Structured Vector Quantization (TSVQ) is a highly efficient technique for locating an appropriate codeword for each input vector. The algorithm does not guarantee that the sel...
Chin-Chen Chang, Yu-Chiang Li, Jun-Bin Yeh