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» Sampling-rate-aware noise generation
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RECOMB
2006
Springer
14 years 8 months ago
A New Approach to Protein Identification
Advances in tandem mass-spectrometry (MS/MS) steadily increase the rate of generation of MS/MS spectra and make it more computationally challenging to analyze such huge datasets. A...
Nuno Bandeira, Dekel Tsur, Ari Frank, Pavel A. Pev...
EDBT
2008
ACM
171views Database» more  EDBT 2008»
14 years 8 months ago
Replay-based approaches to revision processing in stream query engines
Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
Anurag Maskey, Mitch Cherniack
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
14 years 5 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
RAID
2004
Springer
14 years 1 months ago
HoneyStat: Local Worm Detection Using Honeypots
Worm detection systems have traditionally used global strategies and focused on scan rates. The noise associated with this approach requires statistical techniques and large data s...
David Dagon, Xinzhou Qin, Guofei Gu, Wenke Lee, Ju...
BMCBI
2010
89views more  BMCBI 2010»
13 years 8 months ago
Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS)
Background: Nuclear magnetic resonance spectroscopy is one of the primary tools in metabolomics analyses, where it is used to track and quantify changes in metabolite concentratio...
Jennifer M. Staab, Thomas M. O'Connell, Shawn M. G...