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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2005
201views more  BMCBI 2005»
15 years 2 months ago
A comparative study of discriminating human heart failure etiology using gene expression profiles
Background: Human heart failure is a complex disease that manifests from multiple genetic and environmental factors. Although ischemic and non-ischemic heart disease present clini...
Xiaohong Huang, Wei Pan, Suzanne Grindle, Xinqiang...
BMCBI
2011
14 years 10 months ago
The dChip survival analysis module for microarray data
Background: Genome-wide expression signatures are emerging as potential marker for overall survival and disease recurrence risk as evidenced by recent commercialization of gene ex...
Samir B. Amin, Parantu K. Shah, Aimin Yan, Sophia ...
CLUSTER
1999
IEEE
15 years 2 months ago
The Network RamDisk: Using remote memory on heterogeneous NOWs
Efficient data storage, a major concern in the modern computer industry, is mostly provided today by the the traditional magnetic disk. Unfortunately the cost of a disk transfer m...
Michail Flouris, Evangelos P. Markatos
DEXAW
2010
IEEE
181views Database» more  DEXAW 2010»
15 years 4 months ago
Bridging the Gap between Heterogeneous and Semantically Diverse Content of Different Disciplines
The Web has been flooded with highly heterogeneous data sources that freely offer their data to the public. Careful design and compliance to standards is a way to cope with the he...
Siarhei Bykau, Nadzeya Kiyavitskaya, Chrisa Tsinar...
IPPS
2002
IEEE
15 years 8 months ago
Parallel EST Clustering
Expressed sequence tags, abbreviated ESTs, are DNA fragments experimentally derived from expressed portions of genes. Clustering of ESTs is essential for gene recognition and unde...
Anantharaman Kalyanaraman, Srinivas Aluru, Suresh ...