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Building Bridges from Genome to Physiology Using Machine Learning and Drosophila Experimental Evolution.

Physiological and biochemical zoology : PBZ - 1 Jan 2000

Kezos James N, Barter Thomas T, Phillips Mark A, Cabral Larry G, Greenspan Zachary S, Arnold Kenneth R, Azatian Grigor, Buenrostro José, Bhangoo Punjot S, Khong Annie, Reyes Gabriel T, Rahman Adil, Humphrey Laura A, Bradley Timothy J, Mueller Laurence D, Rose Michael R

Abstract excerpt

Drosophila experimental evolution, with its well-defined selection protocols, has long supplied useful genetic material for the analysis of functional physiology. While there is a long tradition of interpreting the effects of large-effect mutants physiologically, identifying and interpreting gene-to-phenotype relationships has been challenging in the genomic era, with many labs not resolving how physiological...

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PMID: 37278586
DOI: 10.1086/724827

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