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» Clustering Genes Using Heterogeneous Data Sources
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127
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BMCBI
2007
140views more  BMCBI 2007»
15 years 2 months ago
Evaluation of high-throughput functional categorization of human disease genes
Background: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilit...
James L. Chen, Yang Liu, Lee T. Sam, Jianrong Li, ...
DOLAP
2003
ACM
15 years 7 months ago
Using AutoMed metadata in data warehousing environments
Metadata management is an essential factor in data warehousing. In data warehousing environments, data is transformed and integrated into a single database from multiple autonomou...
Hao Fan, Alexandra Poulovassilis
107
Voted
ITA
2006
167views Communications» more  ITA 2006»
15 years 2 months ago
Characterization of lung tumor subtypes through gene expression cluster validity assessment
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
Giorgio Valentini, Francesca Ruffino
122
Voted
BMCBI
2007
147views more  BMCBI 2007»
15 years 2 months ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn
162
Voted
BMCBI
2011
14 years 6 months ago
Cell Subset Prediction for Blood Genomic Studies
Background: Genome-wide transcriptional profiling of patient blood samples offers a powerful tool to investigate underlying disease mechanisms and personalized treatment decisions...
Christopher R. Bolen, Mohamed Uduman, Steven H. Kl...