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This notion is more specifically measured via the concept of x-efficiency, which is defined as the degree to which a group of inputs achieves the maximal level of outputs possible with those inputs.
Therefore, it is necessary to specify a group of inputs (I_i) belonging to a given sensor.
Naturally, a group of inputs is applied and each one represents the output of another one.
A group of inputs which are shown as ( x_{k},;k = 1, ldots,K ) are applied to the neuron.
In SFA, a function of the efficient frontier needs to be constructed, while in DEA production frontier can be estimated according to observations of a group of inputs and outputs without constructing a function [ 15].
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ANN is a non-linear mathematical model that is inspired by the structural and functional aspects of neuron in exploration of a group of input data (through training and testing) as function of output data (including relative error) and to envisage the performance of the given system (Cavas et al. 2011).
Consequently, Apriori is implemented to mine association rules for a group of input data [ 24].
The Gene Group Analysis page provides a tool for users to perform pathway enrichment analysis for a group of input genes.
Consequently, Apriori is a program that is implemented to mine association rules for a group of input data [ 43, 44].
Here, the cumulative probability (p-value) of hypergeometric distribution was calculated to evaluate the KEGG/GO enrichment of a group of input genes.
In the first step, a group of input gene IDs of chosen species (such as AGI for Arabidopsis or locus name for Oryza) or a group of promoter sequences is allowed for input to the system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com