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» An Analysis of Factors Used in Search Engine Ranking
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AIME
2007
Springer
14 years 3 months ago
Interpreting Gene Expression Data by Searching for Enriched Gene Sets
This paper presents a novel method integrating gene-gene interaction information and Gene Ontology for the construction of new gene sets that are potentially enriched. Enrichment o...
Igor Trajkovski, Nada Lavrac
SIGIR
2004
ACM
14 years 2 months ago
Configurable indexing and ranking for XML information retrieval
Indexing and ranking are two key factors for efficient and effective XML information retrieval. Inappropriate indexing may result in false negatives and false positives, and impro...
Shaorong Liu, Qinghua Zou, Wesley W. Chu
BMCBI
2008
128views more  BMCBI 2008»
13 years 9 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
BMCBI
2005
133views more  BMCBI 2005»
13 years 8 months ago
Ab initio identification of putative human transcription factor binding sites by comparative genomics
Background: Understanding transcriptional regulation of gene expression is one of the greatest challenges of modern molecular biology. A central role in this mechanism is played b...
Davide Corà, Carl Herrmann, Christoph Diete...
VLDB
1998
ACM
144views Database» more  VLDB 1998»
14 years 1 months ago
Proximity Search in Databases
An information retrieval IR engine can rank documents based on textual proximityof keywords within each document. In this paper we apply this notion to search across an entire dat...
Roy Goldman, Narayanan Shivakumar, Suresh Venkatas...