PLoS Computational Biology · 2005 · 34 citations · 24 references
Life SciencesGeneticsSystems BiologyCellular NeuroscienceMolecular NeuroscienceNeurogeneticsNeural Circuit ModelingNeuronal DynamicsAblation StudiesFunctional Causal Model DiscoveryFunctional Causal ModelsFunctional Performance MeasurementGene KnockoutPerturbation Analysis
Perturbation studies, in which functional performance is measured after deletion, mutation, or lesion of elements of a biological system, have been traditionally employed in many fields in biology. The vast majority of these studies have been qualitative and have employed single perturbations, often resulting in little phenotypic effect. Recently, newly emerging experimental techniques have allowed researchers to carry out concomitant multi-perturbations and to uncover the causal functional contributions of system elements. This study presents a rigorous and quantitative multi-perturbation analysis of gene knockout and neuronal ablation experiments. In both cases, a quantification of the elements' contributions, and new insights and predictions, are provided. Multi-perturbation analysis has a potentially wide range of applications and is gradually becoming an essential tool in biology.
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Functional profiling of the Saccharomyces cerevisiae genome
Guri Giaever, Angela Chu, Li Ni et al. · Nature · 2002 · 4.5K citations
Global Mapping of the Yeast Genetic Interaction Network
Amy H.Y. Tong, Guillaume Lesage, Gary D. Bader et al. · Science · 2004 · 2.1K citations
Jerome H. Friedman, Werner Stuetzle · Journal of the American Statistical Association · 1981 · 2.1K citations · Full text