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In this study we propose a procedure (based on two models) to identify these "black spots".
To avoid this risk we propose a procedure, based on the 'bootstrap' algorithm, which provided consistent results in the mentioned bioproductions.
To identify within a reading-frame three-base periodicities of any type, we propose a procedure based on the G statistics (Sokal and Rohlf, 1994), which is often used as an alternative to the χ for testing associations.
To achieve this goal, we propose a procedure based on decision trees, which computes confidence scores w j, i, ∀ j ≠ i, measuring the importance of each gene j in the prediction of the state μ i. Tree-based methods have been applied successfully in the inference of GRNs (Huynh-Thu et al., 2010) and have appealing properties (Geurts et al., 2009).
Similar(56)
This paper proposes a procedure based on the mass balance method and implemented on highly resolved aircraft data.
Fengler [5] proposed a procedure based on quadratic programming using the cubic spline smoothing on the call price data to get an arbitrage-free implied volatility.
This paper proposes a procedure, based on Petri nets and supported by a centralized monitoring architecture for monitoring failures of the protection systems in radial distribution networks.
This paper addresses the complex problem of multi-stakeholder decisions in urban freight transport policy-making from a public authority perspective, by proposing a procedure based on a modelling approach to support stakeholder involvement in the decision-making process.
More recently, Volik et al. [ 15] proposed a procedure based on paired-end sequences that can detect much smaller variants, depending upon the type of sequence insert one employs.
The proposed approach uses a procedure based on fuzzy logic and defines a model that allows us to estimate "the smart city", in order to access European funding.
To separate S. sclerotiorum and pea ESTs from the mixed pool, a procedure based on that proposed by Hsiang et al. in 2003 [ 56] was employed with modifications.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com