Inferring the perturbation time from biological time course data
نویسندگان
چکیده
منابع مشابه
Inferring the perturbation time from biological time course data
MOTIVATION Time course data are often used to study the changes to a biological process after perturbation. Statistical methods have been developed to determine whether such a perturbation induces changes over time, e.g. comparing a perturbed and unperturbed time course dataset to uncover differences. However, existing methods do not provide a principled statistical approach to identify the spe...
متن کاملTo “ Inferring Network Structure from Interventional Time - Course Experiments
Furthermore this orthogonalisation can be used to improve computational effeciency when comparing a large number of models with the same X0. Define x ′ = (In − P 0)x (which can be precomputed) and then assuming that X0Xγ = 0a×b, we have x T (In − P 0 − P γ)x = x′T (In − P γ)x. This reduces the number of computations that have to be performed for each model matrix Xγ . When the only parameter co...
متن کاملSupplement to “ Inferring Network Structure from Interventional Time - Course Experiments ”
Furthermore this orthogonalisation can be used to improve computational effeciency when comparing a large number of models with the same X0. Define x ′ = (In − P 0)x (which can be precomputed) and then assuming that X0Xγ = 0a×b, we have x T (In − P 0 − P γ)x = x′T (In − P γ)x. This reduces the number of computations that have to be performed for each model matrix Xγ . When the only parameter co...
متن کاملInferring Network Structure from Interventional Time-course Experiments by Simon
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متن کاملInferring Functional Pathways from Multi-Perturbation Data
BACKGROUND Recently, a conceptually new approach for analyzing gene networks, the Functional Influence Network (FIN) was presented. The FIN approach uses the measured performance of a given cellular function under different multi-perturbations, to identify the main functional pathways and interactions underlying its processing. Here we present and study an iterative, extended version of FIN, th...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2016
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btw329