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» Regression analysis for massive datasets
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BMCBI
2006
240views more  BMCBI 2006»
13 years 8 months ago
Statistical analysis of real-time PCR data
Background: Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking;...
Joshua S. Yuan, Ann Reed, Feng Chen, C. Neal Stewa...
BMCBI
2010
136views more  BMCBI 2010»
13 years 8 months ago
An integrated Bayesian analysis of LOH and copy number data
Background: Cancer and other disorders are due to genomic lesions. SNP-microarrays are able to measure simultaneously both genotype and copy number (CN) at several Single Nucleoti...
Paola M. V. Rancoita, Marcus Hutter, Francesco Ber...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 8 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
SIGMOD
2010
ACM
321views Database» more  SIGMOD 2010»
14 years 22 days ago
HadoopDB in action: building real world applications
HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work ha...
Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Hua...
IVS
2007
140views more  IVS 2007»
13 years 7 months ago
Fast point-feature label placement for dynamic visualizations
This paper describes a fast approach to automatic point label de-confliction on interactive maps. The general Map Labeling problem is NP-hard and has been the subject of much stud...
Kevin Mote