TY - JOUR
T1 - Quantitative Analysis of Genetic and Neuronal Multi-Perturbation Experiments
AU - Kaufman, Alon
AU - Keinan, Alon
AU - Meilijson, Isaac
AU - Kupiec, Martin
AU - Ruppin, Eytan
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33747893452&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.0010064
DO - 10.1371/journal.pcbi.0010064
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AN - SCOPUS:33747893452
SN - 1553-734X
VL - 1
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 6
M1 - e64
ER -