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» Identifying Gene Ontology Areas for Automated Enrichment
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JIB
2006
102views more  JIB 2006»
14 years 11 months ago
Analysing Microarray Data using the Multi-functional Immune Ontologiser
Gene expression microarrays are a prominent experimental tool in functional genomics allowing researchers to gain a deeper understanding of biological processes. To date, no such ...
Sabah Khalid, Karl Fraser, Mohsin Khan, Ping Wang,...
BMCBI
2011
14 years 6 months ago
Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
87
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BMCBI
2010
156views more  BMCBI 2010»
14 years 11 months ago
PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci
Background: Functional genomic studies involving high-throughput sequencing and tiling array applications, such as ChIP-seq and ChIP-chip, generate large numbers of experimentally...
Mali Salmon-Divon, Heidi Dvinge, Kairi Tammoja, Pa...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 2 days ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
BMCBI
2008
202views more  BMCBI 2008»
14 years 11 months ago
Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...