Search results for "Linear regression"

showing 10 items of 375 documents

An approach to identify new antihypertensive agents using Thermolysin as model: In silico study based on QSARINS and docking

2019

Thermolysin is a bacterial proteolytic enzyme, considered by many authors as a pharmacological and biological model of other mammalian enzymes, with similar structural characteristics, such as angiotensin converting enzyme and neutral endopeptidase. Inhibitors of these enzymes are considered therapeutic targets for common diseases, such as hypertension and heart failure. In this report, a mathematical model of Multiple Linear Regression, for ordinary least squares, and genetic algorithm, for selection of variables, are developed and implemented in QSARINS software, with appropriate parameters for its fitting. The model is extensively validated according to OECD standards, so that its robust…

Virtual screeningChemistry(all)StereochemistryGeneral Chemical EngineeringIn silicoThermolysinComputational biology01 natural sciencesDockinglcsh:ChemistryThermolysinLinear regressionVirtual screening010405 organic chemistryChemistryProteolytic enzymesGeneral Chemistry0104 chemical sciences010404 medicinal & biomolecular chemistrylcsh:QD1-999Docking (molecular)Multiple Linear RegressionQSARINSOrdinary least squaresOutlierChemical Engineering(all)AntihypertensiveArabian Journal of Chemistry
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A pilot study on the differences in wavefront aberrations between two ethnic groups of young generally myopic subjects

2008

A comparative population-based cross-sectional study design was used to examine the prevalence of wavefront patterns in two different ethnic groups, and the relationship of these patterns with ocular biometrics and gender. The Shin–Nippon SRW5000 open field autorefractor, the Wavefront Analysis Supported Customized Ablation (WASCA) wavefront analyser and the IOLMaster were used to determine wavefront aberrations, mean spherical equivalent (SE) refractive error and axial length (AL). Seventy-four eyes from 74 young healthy subjects (44 British Asians, 30 Caucasians; 36 men, 38 women; mean age 22.51 ± 3.89 years) with mean SE averaging )1.90 ± 2.76 D (range )10.88 to +2.19 D) were examined. R…

WavefrontRefractive erroreducation.field_of_studyPopulationComa (optics)medicine.diseaseSensory SystemsPearson product-moment correlation coefficient03 medical and health sciencesOphthalmologysymbols.namesakeAberrations of the eye0302 clinical medicineAutorefractorStatisticsLinear regression030221 ophthalmology & optometrymedicinesymbolsOptometryeducation030217 neurology & neurosurgeryOptometryMathematicsOphthalmic and Physiological Optics
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Multiple Linear Regression to predict larvicidal activity against <em>Aedes aegypti </em>mosquito

2017

Vector-borne diseases are one of the important health problems in most tropical countries. Aedes aegypti is an important vector for transmission of dengue, yellow fever, chikungunya, arthritis, and Zika fever. According to the World Health Organization, it is estimated that Ae. aegypti causes 50 million infections and 25,000 deaths per year. The emerging scenario highlights that the eco-friendly and effective control measures for mosquito vectors is of crucial importance. One of the most effective vector control measures has been the use of larvicidal compounds however; this success was short lived due to development of resistance against them in many mosquito strains, ecological imbalance …

Yellow feverAedes aegyptiBiologymedicine.disease_causebiology.organism_classificationmedicine.diseaseDengue feverVector (epidemiology)StatisticsLinear regressionmedicineChikungunyaLarvicideSelection (genetic algorithm)Proceedings of MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition
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On the accuracy of three statistical softwares

2005

In this paper we compare the accuracy of three packages that are commonly used for statistical calculations: Excel of Microsoft, version XP Edition 2003, Statistica of Statsoft, version 6, and R, an open-source free software, available on the web, version 1.9.0. To assess the accuracy of each software in different statistical areas, we are going to use benchmarks expressly developed for this aim. The obtained results show a superiority of R in comparison with the other two softwares.

benchmark univariate statistics linear and nonlinear regression probability distributions
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Análisis tiempo-frecuencia de la fibrilación ventricular. Estudio experimental

2006

Introduction and objectives. The analysis of frequency variability during ventricular fibrillation has yielded inconsistent results. We used an experimental model of ventricular fibrillation, with a short timescale, to analyze variations in frequency and their associated spatial distribution. Methods. Epicardial recordings of ventricular fibrillation were made in 10 perfused isolated rabbit heart preparations using a multiple electrode system (i.e., 240 unipolar electrodes). Both spectral and time-frequency analysis were used to derive the dominant frequency in the anterolateral wall of the left ventricle. Results. Linear regression analysis showed that there was a good correlation between …

business.industryCoefficient of variationRabbit heartmedicine.diseaseFree wallmedicine.anatomical_structureNuclear magnetic resonanceStandard errorVentricleLinear regressionVentricular fibrillationmedicineSpectral analysisCardiology and Cardiovascular MedicinebusinessRevista Española de Cardiología
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On the calculation of derived variables in the analysis of multivariate responses

1992

AbstractThe multivariate regression of a p × 1 vector Y of random variables on a q × 1 vector X of explanatory variables is considered. It is assumed that linear transformations of the components of Y can be the basis for useful interpretation whereas the components of X have strong individual identity. When p ≥ q a transformation is found to a new q × 1 vector of responses Y∗ such that in the multiple regression of, say, Y1∗ on X, only the coefficient of X1 is nonzero, i.e. such that Y1∗ is conditionally independent of X2, …, Xq, given X1. Some associated inferential procedures are sketched. An illustrative example is described in which the resulting transformation has aided interpretation.

canonical analysisStatistics and ProbabilityMultivariate statisticsPure mathematicsNumerical AnalysisMultivariate analysisBasis (linear algebra)conditional independencederived variableCanonical analysisCombinatoricsgraphical chain modelTransformation (function)multivariate linear modelConditional independenceLinear regressionStatistics Probability and UncertaintyRandom variableMathematicsJournal of Multivariate Analysis
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Evaluation of the quality of olive oil using fatty acid profiles by direct infusion electrospray ionization mass spectrometry

2008

Abstract Electrospray ionization mass spectrometry is used to predict the olive oil quality according to European Union marketing standards. Samples were 1:50 diluted in an alkaline 85:15 (v/v) propanol/methanol mixture and directly infused into the electrospray ionization source of an ion trap mass spectrometer. The establishment of ratios of the peak abundances of the free fatty acids followed by linear discriminant analysis was employed to predict the olive oil quality grade. In addition, using multiple linear regression and partial least-squares regression, the percentages of extra virgin and virgin olive oils in binary mixtures were predicted with 5–11% average prediction errors.

chemistry.chemical_classificationChromatographyElectrospray ionizationAnalytical chemistryFatty acidGeneral MedicineAnalytical ChemistryPropanolchemistry.chemical_compoundchemistryLinear regressionmedia_common.cataloged_instanceIon trapMethanolEuropean unionFood Sciencemedia_commonOlive oilFood Chemistry
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Prediction of the curing time of Spanish hams using peptide profiles established by capillary zone electrophoresis

2009

Abstract A capillary zone electrophoresis procedure for the prediction of curing time of Spanish hams using peptide profiles has been developed. Excellent resolution between the seven peptide peaks was achieved within 30 min analysis time with a BGE containing 60 mM MgSO 4 and 50 mM phosphate at pH 2.5. Using hams with curing times of 6, 8 and 12 months, both linear discriminant analysis (LDA) and multiple linear regression (MLR) models were constructed. In both cases, two different normalisation procedures of the peak areas were compared. Using LDA, all the ham samples corresponding to the three categories were correctly classified. Using MLR, the ham curing time could be predicted with av…

chemistry.chemical_classificationCuring timeCapillary electrophoresisCuring (food preservation)ChromatographyChemistryLinear regressionAnalytical chemistryPeptideGeneral MedicineLinear discriminant analysisFood ScienceAnalytical ChemistryFood Chemistry
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Determination of molecular weights and Stokes' radii of non-denatured proteins by polyacrylamide gradient gel electrophoresis. 1. An equation relatin…

1982

Untreated and processed gel plates of polyacrylamide (PAA) gradient gels were cut into strips perpendicularly to their length, and the wet and dry matter of the sections was determined. In untreated gels the apparent dry matter, as well as the relative dry matter, are a linear function of the gel length. In processed gels, however, only the apparent gel concentration increases linearly with the gel length, whereas the relative dry matter increases linearly with the square root of the gel length. The %T (content in polyacrylamide) was calculated from the apparent dry matter. The gel gradients used were found to be linear with respect to %T. Six different calibration proteins were run and the…

chemistry.chemical_classificationGel electrophoresisLinear function (calculus)ChromatographyMolecular massChemistryClinical BiochemistryPolyacrylamideAnalytical chemistryPolymerBiochemistryAnalytical ChemistryElectrophoresischemistry.chemical_compoundLinear regressionDry matterElectrophoresis
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Rapid evaluation of oxidised fatty acid concentration in virgin olive oil using Fourier-transform infrared spectroscopy and multiple linear regression

2011

Abstract Fourier-transform infrared spectroscopy (FTIR), followed by multivariate treatment of spectral data, was used to evaluate the oxidised fatty acid (OFA) concentration in virgin olive oil samples characterised by different oxidative status. The entire FTIR spectra (4000–700 cm−1) of oils were divided in 25 wavelength regions. The normalised absorbances of the peak areas within these regions were used as predictors. In order to predict the OFA concentration, multiple linear regression (MLR) models were performed. After a cube root transformation of data, an MLR model constructed using eight predictors was able to predict OFA concentration with an average error of 17%. The main wavelen…

chemistry.chemical_classificationMULTIPLE LINEAR REGRESSIONOXIDATIVE STATUSAnalytical chemistryFatty acidInfrared spectroscopyGeneral MedicineVIRGIN OLIVE OILFOURIER-TRANSFORM INFRARED SPECTROSCOPYAnalytical ChemistryWavelengthsymbols.namesakeOXIDISED FATTY ACIDSVegetable oilFourier transformchemistryLinear regressionsymbolsFourier transform infrared spectroscopyFood ScienceOlive oil
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