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» Correlation search in graph databases
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102
Voted
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 4 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
136
Voted
BMCBI
2008
173views more  BMCBI 2008»
15 years 3 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
149
Voted
BMCBI
2005
94views more  BMCBI 2005»
15 years 3 months ago
Measuring similarities between transcription factor binding sites
Background: Collections of transcription factor binding profiles (Transfac, Jaspar) are essential to identify regulatory elements in DNA sequences. Subsets of highly similar profi...
Szymon M. Kielbasa, Didier Gonze, Hanspeter Herzel
125
Voted
ICDE
2009
IEEE
159views Database» more  ICDE 2009»
15 years 10 months ago
ApproxRank: Estimating Rank for a Subgraph
Abstract— Customized semantic query answering, personalized search, focused crawlers and localized search engines frequently focus on ranking the pages contained within a subgrap...
Yao Wu, Louiqa Raschid
137
Voted
BMCBI
2006
178views more  BMCBI 2006»
15 years 3 months ago
GOLEM: an interactive graph-based gene-ontology navigation and analysis tool
Background: The Gene Ontology has become an extremely useful tool for the analysis of genomic data and structuring of biological knowledge. Several excellent software tools for na...
Rachel S. G. Sealfon, Matthew A. Hibbs, Curtis Hut...