Search results for "Linear regression"

showing 10 items of 375 documents

Global land surface phenology trends from GIMMS database

2009

A double logistic function has been used to describe global inventory mapping and monitoring studies (GIMMS) normalized difference vegetation index (NDVI) yearly evolution for the 1981 to 2003 period, in order to estimate land surface phenology parameter. A principal component analysis on the resulting time series indicates that the first components explain 36, 53 and 37% of the variance for the start, end and length of growing season, respectively, and shows generally good spatial homogeneity. Mann-Kendall trend tests have been carried out, and trends were estimated by linear regression. Maps of these trends show a global advance in spring dates of 0.38 days per year, a global delay in aut…

MeteorologyPhenologyGrowing seasonSeasonalitymedicine.diseaseNormalized Difference Vegetation IndexLinear regressionTrend surface analysismedicineGeneral Earth and Planetary SciencesEnvironmental sciencePhysical geographyTime seriesLogistic functionInternational Journal of Remote Sensing
researchProduct

Bayesian Model Averaging and Weighted Average Least Squares: Equivariance, Stability, and Numerical Issues

2011

This article is concerned with the estimation of linear regression models with uncertainty about the choice of the explanatory variables. We introduce the Stata commands bma and wals which implement, respectively, the exact Bayesian Model Averaging (BMA) estimator and the Weighted Average Least Squares (WALS) estimator developed by Magnus et al. (2010). Unlike standard pretest estimators which are based on some preliminary diagnostic test, these model averaging estimators provide a coherent way of making inference on the regression parameters of interest by taking into account the uncertainty due to both the estimation and the model selection steps. Special emphasis is given to a number pra…

Model selectionBayesian probabilityLinear regressionStability (learning theory)Applied mathematicsInferenceEstimatorBayesian inferenceLeast squaresMathematicsSSRN Electronic Journal
researchProduct

Intraosseous monitoring of drilling in lumbar vertebrae by ultrasound: An experimental feasibility study.

2016

The rationale for this project is to evaluate the efficiency of a novel sonographic method for measurements of interosseous distances. The method utilizes a propagating ultrasonic beam through aqueous milieu which is directed as a jet into a drilled tract. We used a plastic model of human L5 vertebra and ex vivo specimen of L5 porcine vertebra and generated 2 mm in diameter tracts in vertebral pedicles. The tracts were created in the "desired" central direction and in the "wrong" medial and lateral directions. The drilled tracts and the residual, up to opposite cortex, distances were measured sonographically and mechanically and compared statistically. We show that "true" mechanical measure…

Models AnatomicVertebraeSwinelcsh:MedicineReflectionDistance Measurement01 natural sciences0302 clinical medicineMathematical and Statistical TechniquesBone DensityMedicine and Health SciencesOrthopedic Procedureslcsh:Science010301 acousticsMusculoskeletal SystemMeasurementMultidisciplinaryUltrasonic beamLumbar VertebraePhysicsUltrasoundClassical MechanicsAnatomymedicine.anatomical_structureConnective TissuePhysical SciencesEngineering and TechnologyRegression AnalysisTomographyAnatomyPlasticsGeologyStatistics (Mathematics)Research Articlemusculoskeletal diseasesMaterials ScienceMaterial PropertiesSurgical and Invasive Medical ProceduresLumbar vertebraeLinear Regression AnalysisResearch and Analysis Methods03 medical and health sciencesLumbar0103 physical sciencesmedicineAnimalsHumansL5 VertebraStatistical MethodsBoneUltrasonography Interventionalbusiness.industrylcsh:RDrillingBiology and Life SciencesSpineVertebraBiological TissueSignal ProcessingLinear ModelsFeasibility Studieslcsh:QbusinessTomography X-Ray Computed030217 neurology & neurosurgeryMathematicsPloS one
researchProduct

State of the Art Review and Report of New Tool for Drug Discovery

2017

BACKGROUND There are a great number of tools that can be used in QSAR/QSPR studies; they are implemented in several programs that are reviewed in this report. The usefulness of new tools can be proved through comparison, with previously published approaches. In order to perform the comparison, the most usual is the use of several benchmark datasets such as DRAGON and Sutherland's datasets. METHODS Here, an exploratory study of Atomic Weighted Vectors (AWVs), a new tool useful for drug discovery using different datasets, is presented. In order to evaluate the performance of the new tool, several statistics and QSAR/QSPR experiments are performed. Variability analyses are used to quantify the…

Models Molecular0301 basic medicineQuantitative structure–activity relationshipMolecular StructureOrthogonality (programming)Computer scienceQuantitative Structure-Activity RelationshipGeneral MedicineState of the art reviewInformation theorycomputer.software_genreStructure-Activity Relationship03 medical and health sciences030104 developmental biologyDrug DiscoveryLinear regressionPrincipal component analysisGenetic algorithmBenchmark (computing)Data miningcomputerSoftwareCurrent Topics in Medicinal Chemistry
researchProduct

DesMol2, an Effective Tool for the Construction of Molecular Libraries and Its Application to QSAR Using Molecular Topology

2019

A web application, DesMol2, which offers two main functionalities, is presented: the construction of molecular libraries and the calculation of topological indices. These functionalities are explained through a practical example of research of active molecules to the formylpeptide receptor (FPR), a receptor associated with chronic inflammation in systemic amyloidosis and Alzheimer&rsquo

Models MolecularMultilinear mapQuantitative structure–activity relationshiplinear discriminant analysisComputer scienceQuantitative Structure-Activity RelationshipPharmaceutical ScienceComputational biology01 natural sciencesArticleAnalytical ChemistrySmall Molecule Librarieslcsh:QD241-44103 medical and health scienceslcsh:Organic chemistryDrug DiscoveryPhysical and Theoretical ChemistryPiperazineDesMol2030304 developmental biology0303 health sciencesMolecular Structure010405 organic chemistryOrganic Chemistrymolecular librariesBase (topology)Linear discriminant analysisReceptors Formyl PeptideSystemic amyloidosis0104 chemical sciencestopology descriptorsmultilinear regression analysisDiscriminantChemistry (miscellaneous)Molecular MedicineMultiple linear regression analysisMolecular topologyAlzheimer’s diseaseDatabases ChemicalSoftwareProtein BindingMolecules
researchProduct

3D-Chiral quadratic indices of the ‘molecular pseudograph’s atom adjacency matrix’ and their application to central chirality codification: classific…

2004

Quadratic indices of the 'molecular pseudograph's atom adjacency matrix' have been generalized to codify chemical structure information for chiral drugs. These 3D-chiral quadratic indices make use of a trigonometric 3D-chirality correction factor. These indices are nonsymmetric and reduced to classical (2D) descriptors when symmetry is not codified. By this reason, it is expected that they will be useful to predict symmetry-dependent properties. 3D-Chirality quadratic indices are real numbers and thus, can be easily calculated in TOMOCOMD-CARDD software. These descriptors circumvent the inability of conventional 2D quadratic indices (Molecules 2003, 8, 687-726. http://www.mdpi.org) and othe…

Models MolecularQuantitative structure–activity relationshipChemistryStereochemistryOrganic ChemistryClinical BiochemistryStability (learning theory)Computational BiologyQuantitative Structure-Activity RelationshipPharmaceutical ScienceAngiotensin-Converting Enzyme InhibitorsStereoisomerismLinear discriminant analysisBiochemistryCross-validationQuadratic equationTest setDrug DiscoveryLinear regressionReceptors sigmaMolecular MedicineApplied mathematicsAdjacency matrixMolecular BiologyBioorganic & Medicinal Chemistry
researchProduct

Atom-based Stochastic and non-Stochastic 3D-Chiral Bilinear Indices and their Applications to Central Chirality Codification

2006

Abstract Non-stochastic and stochastic 2D bilinear indices have been generalized to codify chemical structure information for chiral drugs, making use of a trigonometric 3D-chirality correction factor. In order to evaluate the effectiveness of this novel approach in drug design we have modeled the angiotensin-converting enzyme inhibitory activity of perindoprilate's σ-stereoisomers combinatorial library. Two linear discriminant analysis models, using non-stochastic and stochastic linear indices, were obtained. The models had shown an accuracy of 95.65% for the training set and 100% for the external prediction set. Next the prediction of the σ-receptor antagonists of chiral 3-(3-hydroxypheny…

Models MolecularQuantitative structure–activity relationshipIndolesStereochemistryStatic ElectricityQuantitative Structure-Activity RelationshipBilinear interpolationAngiotensin-Converting Enzyme InhibitorsIn Vitro TechniquesSet (abstract data type)PiperidinesLinear regressionMaterials ChemistryReceptors sigmaOrder (group theory)Applied mathematicsComputer SimulationPhysical and Theoretical ChemistrySpectroscopyMathematicsTranscortinStochastic ProcessesChemistryAtom (order theory)StereoisomerismLinear discriminant analysisComputer Graphics and Computer-Aided DesignData setDrug DesignLinear ModelsSteroidsTrigonometryChirality (chemistry)Proceedings of The 10th International Electronic Conference on Synthetic Organic Chemistry
researchProduct

Nucleotide's bilinear indices: Novel bio-macromolecular descriptors for bioinformatics studies of nucleic acids. I. Prediction of paromomycin's affin…

2009

A new set of nucleotide-based bio-macromolecular descriptors are presented. This novel approach to bio-macromolecular design from a linear algebra point of view is relevant to nucleic acids quantitative structure-activity relationship (QSAR) studies. These bio-macromolecular indices are based on the calculus of bilinear maps on Re(n)[b(mk)(x (m),y (m)):Re(n) x Re(n)--Re] in canonical basis. Nucleic acid's bilinear indices are calculated from kth power of non-stochastic and stochastic nucleotide's graph-theoretic electronic-contact matrices, M(m)(k) and (s)M(m)(k), respectively. That is to say, the kth non-stochastic and stochastic nucleic acid's bilinear indices are calculated using M(m)(k)…

Models MolecularStatistics and ProbabilityPure mathematicsQuantitative structure–activity relationshipParomomycinMolecular Sequence DataDNA FootprintingQuantitative Structure-Activity RelationshipBilinear interpolationGeneral Biochemistry Genetics and Molecular BiologyInterpretation (model theory)DNA PackagingLinear regressionOrder (group theory)MathematicsStochastic ProcessesBase SequenceGeneral Immunology and MicrobiologyApplied MathematicsComputational BiologyGeneral MedicineModeling and SimulationDNA ViralLinear algebraStandard basisHIV-1Nucleic acidRNA ViralGeneral Agricultural and Biological SciencesAlgorithmJournal of Theoretical Biology
researchProduct

Application of molecular topology to the prediction of the antimalarial activity of a group of uracil-based acyclic and deoxyuridine compounds.

2008

A topological-mathematical model has been arranged to search for new derivatives of deoxyuridine and related compounds acting as antimalarials against Plasmodium falciparum. By using linear discriminant and multilinear regression analysis a model with two functions was capable to predict adequately the IC(50) for each compound of the training and test series. After carrying out a virtual screening based upon such a model, new structures potentially active against P. falciparum are proposed.

Models MolecularStereochemistryChemistry PharmaceuticalPlasmodium falciparumPharmaceutical ScienceQuantitative Structure-Activity Relationshipchemistry.chemical_compoundAntimalarialsUser-Computer Interfaceparasitic diseasesAnimalsTechnology PharmaceuticalComputer SimulationUracilTopology (chemistry)Virtual screeningbiologyMolecular StructureDiscriminant AnalysisUracilPlasmodium falciparumLinear discriminant analysisbiology.organism_classificationDeoxyuridineDeoxyuridinechemistryDrug DesignComputer-Aided DesignRegression AnalysisMultiple linear regression analysisMolecular topologyInternational journal of pharmaceutics
researchProduct

Predicting Skin Permeability by Means of Computational Approaches: Reliability and Caveats in Pharmaceutical Studies

2019

The skin is the main barrier between the internal body environment and the external one. The characteristics of this barrier and its properties are able to modify and affect drug delivery and chemical toxicity parameters. Therefore, it is not surprising that permeability of many different compounds has been measured through several in vitro and in vivo techniques. Moreover, many different in silico approaches have been used to identify the correlation between the structure of the permeants and their permeability, to reproduce the skin behavior, and to predict the ability of specific chemicals to permeate this barrier. A significant number of issues, like interlaboratory variability, experim…

Molecular dynamicComputer scienceGeneral Chemical EngineeringSkin AbsorptionSkin permeabilityLibrary and Information SciencesPrinciple component regressionPartial least square01 natural sciencesModels BiologicalQuantitative structure-property relationship0103 physical sciencesDrug DiscoveryAnimalsHumansComputer SimulationSite of originSkinIn silico prediction010304 chemical physicsChemical toxicityGeneral ChemistrySettore CHIM/08 - Chimica Farmaceutica0104 chemical sciencesComputer Science ApplicationsMultilinear regression010404 medicinal & biomolecular chemistryPharmaceutical PreparationsDrug deliverySkin permeabilityBiochemical engineeringAlgorithms
researchProduct