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» Biomedical Case Studies in Data Intensive Computing
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BMCBI
2008
147views more  BMCBI 2008»
13 years 9 months ago
Simple integrative preprocessing preserves what is shared in data sources
Background: Bioinformatics data analysis toolbox needs general-purpose, fast and easily interpretable preprocessing tools that perform data integration during exploratory data ana...
Abhishek Tripathi, Arto Klami, Samuel Kaski
FGCS
2006
144views more  FGCS 2006»
13 years 9 months ago
BioSimGrid: Grid-enabled biomolecular simulation data storage and analysis
In computational biomolecular research, large amounts of simulation data are generated to capture the motion of proteins. These massive simulation data can be analysed in a number...
Muan Hong Ng, Steven Johnston, Bing Wu, Stuart E. ...
DAM
2007
131views more  DAM 2007»
13 years 8 months ago
Haplotyping with missing data via perfect path phylogenies
Computational methods for inferring haplotype information from genotype data are used in studying the association between genomic variation and medical condition. Recently, Gusfi...
Jens Gramm, Till Nierhoff, Roded Sharan, Till Tant...
DKE
2008
79views more  DKE 2008»
13 years 9 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 7 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava