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BMCBI
2010
139views more  BMCBI 2010»
13 years 6 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
BMCBI
2010
117views more  BMCBI 2010»
13 years 6 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
CSB
2003
IEEE
13 years 11 months ago
Fast and Sensitive Probe Selection for DNA Chips Using Jumps in Matching Statistics
The design of large scale DNA microarrays is a challenging problem. So far, probe selection algorithms must trade the ability to cope with large scale problems for a loss of accur...
Sven Rahmann
BIBE
2008
IEEE
203views Bioinformatics» more  BIBE 2008»
14 years 16 days ago
A study of the parameters affecting minimum detectable activity concentration level of clinical LSO PET scanners
— Recent studies in the field of molecular imaging have demonstrated the need for PET probes capable of imaging very weak activity distributions. Over this range of applications ...
Nicolas A. Karakatsanis, Konstantina S. Nikita
PAMI
2007
107views more  PAMI 2007»
13 years 5 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright