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» Analysis of Proteomic Pattern Data for Cancer Detection
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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
14 years 7 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee
PLDI
2006
ACM
14 years 1 months ago
LOCKSMITH: context-sensitive correlation analysis for race detection
One common technique for preventing data races in multi-threaded programs is to ensure that all accesses to shared locations are consistently protected by a lock. We present a too...
Polyvios Pratikakis, Jeffrey S. Foster, Michael W....
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
A database application for pre-processing, storage and comparison of mass spectra derived from patients and controls
Background: Statistical comparison of peptide profiles in biomarker discovery requires fast, userfriendly software for high throughput data analysis. Important features are flexib...
Mark K. Titulaer, Ivar Siccama, Lennard J. Dekker,...
ARC
2010
Springer
144views Hardware» more  ARC 2010»
14 years 2 months ago
QUAD - A Memory Access Pattern Analyser
In this paper, we present the Quantitative Usage Analysis of Data (QUAD) tool, a sophisticated memory access tracing tool that provides a comprehensive quantitative analysis of mem...
S. Arash Ostadzadeh, Roel Meeuws, Carlo Galuzzi, K...