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Yeast Genome > Epistasis

The following information is about Epistasis.

Epistasis Defined

A type of genetic interaction: the nonreciprocal interaction of nonallelic genes in which the expression of one gene masks the expression of another. For example, if the expression of Gene A masks that of Gene B, Gene A is said to be epistatic to Gene B, whereas Gene B is hypostatic to Gene A.

This definition is in context to Yeast Genome. See more contextual defintions for Epistasis.


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Off-site Epistasis Links, User Submitted

The following links have been collected through user bookmark submission in the Epistasis category. Please note, because these resources are off-site we cannot guarantee the accuracy or quality of any information.

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  • Focused Interaction Testing Framework (FITF) Software: It is designed for case-control studies involving diallelic candidate genes. A full description of the method can be found in the following article: Joshua Millstein, David V. Conti, Frank D. Gilliland, W. James Gauderman. A testing framework for identifying susceptibility genes in the presence of epistasis. (not yet available -- in review)
  • Computational Genetics Laboratory at Dartmouth Medical School: Welcome to the homepage of the Computational Genetics Laboratory at the Norris-Cotton Cancer Center and Dartmouth Medical School in Lebanon, New Hampshire. Our mission is to improve the prediction, prevention, and treatment of common human diseases such as cancers, cardiovascular diseases, and psychiatric diseases through the development, evaluation, and application of statistical and computational methods for genetic, genomic, proteomic and metabolomic analysis. Our focus is on methods and software that embrace, rather than ignore, the hierarchical nature and complexity of disease initiation and progression. Epistasis, or gene-gene interaction, is one such complicating factor.
  • epistasis blog - MDR posts: Blog posts about Multidimension ality reduction software
  • mdr: MDR is a data mining strategy for detecting and characterizing nonlinear interactions among discrete attributes (e.g. SNPs, smoking, gender, etc.) that are predictive of a discrete outcome (e.g. case-control status). The MDR software combines attribute selection, attribute construction and classification with cross-validati on to provide a powerful approach to modeling interactions.

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If you would like to find additional social bookmark based links on the topic of we recommend the Open Tag Directory > Epistasis. If you would like to find related tags we recommend Tag Patterns > Epistasis

Off-site Epistasis Research Links

If you still need additional information on Epistasis then we suggest the following off-site resources. Please note, because these resources are off-site we cannot guarantee the accuracy or quality of any information.

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