FUNC: a package for detecting significant associations between gene sets and ontological annotations
نویسندگان
چکیده
منابع مشابه
An Improved Statistic for Detecting Over-Represented Gene Ontology Annotations in Gene Sets
We propose an improved statistic for detecting over-represented Gene Ontology (GO) annotations in gene sets. While the current methods treats each term independently and hence ignores the structure of the GO hierarchy, our approach takes parent-child relationships into account. Over-representation of a term is measured with respect to the presence of its parental terms in the set. This resolves...
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Identifying interesting relationships between pairs of variables in large data sets is increasingly important. Here, we present a measure of dependence for two-variable relationships: the maximal information coefficient (MIC). MIC captures a wide range of associations both functional and not, and for functional relationships provides a score that roughly equals the coefficient of determination ...
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MOTIVATION The ontological analysis of the gene lists obtained from DNA microarray experiments constitutes an important step in understanding the underlying biology of the analyzed system. Over the last years, many other high-throughput techniques emerged, covering now basically all 'omics' fields. However, for some of these techniques the generally used functional ontologies might not be suffi...
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MOTIVATION High-throughput profiling in biological research has resulted in the availability of a wealth of data cataloguing the genetic, epigenetic and transcriptional states of cells. These data could yield discoveries that may lead to breakthroughs in the diagnosis and treatment of human disease, but require statistical methods designed to find the most relevant patterns from millions of pot...
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Motivation: In general, the meaning of biological database records is not sufficiently specified from an ontological point of view. We explore the options for an ontology-based integration and interpretation of database content of individuals, defined classes, dispositions and a combination of these. Results: Four interpretation models are created, interpreting annotations in database records a...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2007
ISSN: 1471-2105
DOI: 10.1186/1471-2105-8-41