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» Smooth sensitivity and sampling in private data analysis
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BMCBI
2010
143views more  BMCBI 2010»
13 years 7 months ago
Shape based kinetic outlier detection in real-time PCR
Background: Real-time PCR has recently become the technique of choice for absolute and relative nucleic acid quantification. The gold standard quantification method in real-time P...
Davide Sisti, Michele Guescini, Marco B. L. Rocchi...
SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
14 years 1 months ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 7 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
COMPLIFE
2006
Springer
13 years 11 months ago
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
Background: The computer-assisted detection of small molecules by mass spectrometry in biological samples provides a snapshot of thousands of peptides, protein fragments and prote...
Tim O. F. Conrad, Alexander Leichtle, Andre Hageh&...
WADS
2007
Springer
115views Algorithms» more  WADS 2007»
14 years 1 months ago
Alpha-Beta Witness Complexes
Building on the work of Martinetz, Schulten and de Silva, Carlsson, we introduce a 2-parameter family of witness complexes and algorithms for constructing them. This family can be ...
Dominique Attali, Herbert Edelsbrunner, John Harer...