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Prediction methods

An assessment on epitope prediction methods for protozoa genomes

An assessment on epitope prediction methods for protozoa genomes

... various prediction methods have been developed to predict pro- teins’ subcellular location in the recent decades ...diction methods to identify the subcellular location of proteins can be classified ...

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Variable importance and prediction methods for longitudinal problems with missing variables.

Variable importance and prediction methods for longitudinal problems with missing variables.

... present prediction and variable importance (VIM) methods for longitudinal data sets containing continuous and binary exposures subject to ...these methods for prognosis of medical outcomes of severe ...

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Survival prediction based on compound covariate under Cox proportional hazard models.

Survival prediction based on compound covariate under Cox proportional hazard models.

... covariate prediction. The compound covariate prediction method is based on a linear combination of the univariate Cox regression estimates and has been previously used in medical studies with microarrays ...

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Prediction of breeding values in sugarcane using pedigree and genomic information

Prediction of breeding values in sugarcane using pedigree and genomic information

... genomic prediction methods in a commercial breeding population genotyped with SNP ...for prediction of genetic merit of clones, shortening the time of current selection, which requires large field ...

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Protein structural model selection by combining consensus and single scoring methods.

Protein structural model selection by combining consensus and single scoring methods.

... scoring methods is the correlation or redundancy within these ...different methods, principal component analysis was carried out to reduce the correlations among ...related prediction methods, ...

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TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods  DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200

TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200

... non-radiographic prediction methods (Moyers, Tanaka & Johnston and Bernabé & Flores-Mir) and propose new regression equations based on the sum of the widths of the lower four permanent incisors to ...

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Load Value Prediction Method to Utilize Prediction Miss Bias

Load Value Prediction Method to Utilize Prediction Miss Bias

... value prediction methods have been proposed to reduce the data ...the prediction is correct, successive instructions can be executed in parallel without waiting for memory ...However, ...

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Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.

Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.

... Against this background, we conduct extensive experiments to analyze the influence of these factors on prokaryotic promoter region predictors. One of our major aims is to guide the developers of future prokaryotic ...

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J. Microw. Optoelectron. Electromagn. Appl.  vol.11 número1

J. Microw. Optoelectron. Electromagn. Appl. vol.11 número1

... the prediction of rain attenuation in slant paths and terrestrial links is ...attenuation prediction methods but, additionally, the concept of an effective rain rate is ...the prediction of ...

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COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND MAXIMUM LIKELIHOOD CLASSIFICATION IN DIGITAL SOIL MAPPING

COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND MAXIMUM LIKELIHOOD CLASSIFICATION IN DIGITAL SOIL MAPPING

... the prediction of soil class was described by Chagas et ...of prediction methods (MLC, ANNs, decision trees, multiple logistic regressions, ...validation methods, and even the evaluation of ...

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Nearest template prediction: a single-sample-based flexible class prediction with confidence assessment.

Nearest template prediction: a single-sample-based flexible class prediction with confidence assessment.

... and prediction need to be performed on a single patient ...of prediction confidence is necessary to make reliable clinical decision considering any classification and prediction algorithms could ...

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EFFECT OF BODY SHAPE ON THE AERODYNAMICS OF PROJECTILES AT SUPERSONIC SPEEDS

EFFECT OF BODY SHAPE ON THE AERODYNAMICS OF PROJECTILES AT SUPERSONIC SPEEDS

... Fortran-77 language is used in programming the prediction methods. Each estimation method is programmed in a separate subroutine for case of modification or addition to the programme. Many of design charts ...

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An ensemble regression approach for bus trip time prediction

An ensemble regression approach for bus trip time prediction

... smoother methods (super smoother, spline and generalized cross-validation spline), and support vector machines ([8]) with three different kernels (linear, radial and ...

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Weighted Marking, Clique Structure and Node-Weighted Centrality to Predict Distribution Centre’s Location in a Supply Chain Management

Weighted Marking, Clique Structure and Node-Weighted Centrality to Predict Distribution Centre’s Location in a Supply Chain Management

... The radius of coverage according to fig.1 is 30miles, accordingly the farthest possible distance apart of any two nodes will be the diameter of such circle which is 60miles. This was used for the calculation of ratio of ...

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The Accuracy of p16/Ki-67 and HPV Test in the Detection of CIN2/3 in Women Diagnosed with ASC-US or LSIL.

The Accuracy of p16/Ki-67 and HPV Test in the Detection of CIN2/3 in Women Diagnosed with ASC-US or LSIL.

... Recently, new tests have been introduced for the molecular detection of HPV DNA, including the Cobas 4800 test (Roche Molecular Systems, Inc., Branchburg, NJ) which was approved by the FDA in 2014 for use in primary ...

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Prediction of expected years of life using whole-genome markers.

Prediction of expected years of life using whole-genome markers.

... estimated average YL, derived from a model that only included an intercept and the effect of age at entry, which is taken here as our baseline model. This statistic can be evaluated only with subjects that have already ...

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MATERIALS AND METHODS Prediction of disordered domains

MATERIALS AND METHODS Prediction of disordered domains

... Human Respiratory Syncytial Virus P protein plus the viral RNA, N and L viral proteins, constitute the viral replication complex. In this report we describe that HRSV P protein has putative intrinsically disordered ...

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A new ensemble coevolution system for detecting HIV-1 protein coevolution

A new ensemble coevolution system for detecting HIV-1 protein coevolution

... 30 methods were published and most of them were based on the principle of information theory, physicochemical properties, molecular phylogenetics and Bayesian statistics ...sequence-based methods is usually ...

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A comparison of supervised classification methods for the prediction of substrate type using multibeam acoustic and legacy grain-size data.

A comparison of supervised classification methods for the prediction of substrate type using multibeam acoustic and legacy grain-size data.

... to address all potential issues regarding classification approaches, accuracy of input data, effect of support size, range of substrate types and many more in one single study. Rather, we see this work as a contribution ...

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Testing the performance of three nonlinear methods of time seriesanalysis for prediction and downscaling of European daily temperatures

Testing the performance of three nonlinear methods of time seriesanalysis for prediction and downscaling of European daily temperatures

... The error and nonlinearity maps in Figs. 4, 5 and 8 to 10 offer some insight into the geographic structure of spatiotem- poral relations between the atmospheric variables, but they should be interpreted carefully. For ...

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