The most important biological application of the multifactor dimensionality reduction approach to data mining is in detecting this phenomenon.The "K" in Stuart Kaufmann's NK model represents the degree of this phenomenon. Schuldiner and Collins et. a
The most important biological application of the multifactor dimensionality reduction approach to data mining is in detecting this phenomenon.The "K" in Stuart Kaufmann's NK model represents the degree of this phenomenon. Schuldiner and Collins et. al developed a nascent analytical tool which uses a "miniarray profile" to quantify this phenomenon. It's not "genetics," but William Bateson coined this term. Fitness landscapes become more rugged as this phenomenon increases. Alexey Kondrashov's deterministic mutation hypothesis only holds when the (*) "synergistic" form of this phenomenon occurs. This phenomenon is broadly classified into "magnitude" and "sign" types, an example of the "reciprocal" form of the latter being two mutations in yeast that individually increase fitness, but decrease it when both are active. For 10 points, name this phenomenon in genetics where the effect of a gene is dependent on the effect of another gene, such as the baldness phenotype superseding the gene for hair color.
The most important biological application of the multifactor dimensionality reduction approach to data mining is in detecting this phenomenon.
epistasis [accept word forms, such as epistatic]