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» A Method for Dynamic Clustering of Data
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RECOMB
2000
Springer
15 years 8 months ago
Contig selection in physical mapping
In physical mapping, one orders a set of genetic landmarks or a library of cloned fragments of DNA according to their position in the genome. Our approach to physical mapping divi...
Steffen Heber, Jens Stoye, Jörg D. Hoheisel, ...
142
Voted
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
15 years 5 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi
BMCBI
2007
176views more  BMCBI 2007»
15 years 4 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
143
Voted
HPDC
2009
IEEE
15 years 11 months ago
Maintaining reference graphs of globally accessible objects in fully decentralized distributed systems
Since the advent of electronic computing, the processors’ clock speed has risen tremendously. Now that energy efficiency requirements have stopped that trend, the number of proc...
Björn Saballus, Thomas Fuhrmann
SIGMETRICS
2009
ACM
134views Hardware» more  SIGMETRICS 2009»
15 years 11 months ago
DRAM errors in the wild: a large-scale field study
Errors in dynamic random access memory (DRAM) are a common form of hardware failure in modern compute clusters. Failures are costly both in terms of hardware replacement costs and...
Bianca Schroeder, Eduardo Pinheiro, Wolf-Dietrich ...