Search results for "linear discriminant analysis"

showing 10 items of 163 documents

Molecular connectivity to find β-blockers with low toxicity

1997

Abstract Molecular connectivity has been used to find new β-blocker drugs using linear discriminant analysis and connectivity functions with different topological descriptors. Among the selected compounds stands out the probucol and the β-carotene. Both of them interact with β adrenoceptors.

Molecular modelLow toxicityChemistryStereochemistryOrganic ChemistryClinical BiochemistryProbucolPharmaceutical ScienceLinear discriminant analysisBiochemistryβ adrenoceptorDrug DiscoverymedicineMolecular Medicineβ adrenergic receptorMolecular Biologymedicine.drugBioorganic & Medicinal Chemistry Letters
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Predictability and prediction of lowest observed adverse effect levels in a structurally heterogeneous set of chemicals

2005

A database of chronic lowest observed adverse effect levels (LOAELs) for 234 compounds, previously compiled from different sources (Toxicology Letters79, 131-143 (1995)), was modelled using graph theoretical descriptors. This study reveals that data are not homogeneous. Only those data originating from the U.S. Environmental Protection Agency (EPA) reports could be well modelled by multilinear regression (MLR) and linear discriminant analysis (LDA). In contrast, data available from the specific procedures of the National Toxicology Program (NTP) database introduced noise and did not render good models either alone, or in combination with the EPA data.

Multilinear mapComputer scienceLinear modelReproducibility of ResultsContrast (statistics)BioengineeringGeneral MedicineModels TheoreticalLinear discriminant analysiscomputer.software_genreRegressionLowest-observed-adverse-effect levelSet (abstract data type)Structure-Activity RelationshipDrug DiscoveryStatisticsLinear ModelsAnimalsMolecular MedicineData miningOrganic ChemicalsPredictabilityToxicity Tests ChroniccomputerSAR and QSAR in Environmental Research
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Application of molecular topology for the prediction of the reaction times and yields under solvent-free conditions

2010

Ball milling and conventional magnetic stirring can be used to support different laboratory techniques with a highly efficient mixing of reagents under solvent-free conditions. By using multilinear regression and linear discriminant analysis, topological-mathematical models have been built to predict the yield and the reaction time for organocatalytic reactions, Suzuki reactions and reactions of synthesis of heterocyclic compounds. The results from the in silico predictions confirm the usefulness of the approach followed.

Multilinear mapSuzuki reactionChemistryComputational chemistryStereochemistryYield (chemistry)ReagentEnvironmental ChemistryLinear discriminant analysisPollutionChemical synthesisChemical reactionCatalysisGreen Chemistry
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Diagnosis of damage to Norway spruce (Picea abies) through biochemical criteria

1995

Bioindication can be carried out at different hierarchical levels, eg. cell, organism, and ecosystem. While the monitoring of damage by visible criteria (e.g. loss of needles) is connected with the organism as a whole, the monitoring of damage by biochemical indicators is above all connected with cell metabolism. The degree of vitality of a tree can be ascertained through the integration of a number of biochemical parameters. Furthermore, a differential diagnosis of a particular stress pattern can be carried out because of the feedback pattern of several biochemical indicators. In order to describe and interpret biochemical or physiological changes that have been caused by a number of facto…

Multivariate analysisbiologyPhysiologyEcologyfungifood and beveragesPicea abiesCell BiologyPlant ScienceGeneral MedicineComputational biologybiology.organism_classificationLinear discriminant analysisBiomarker (cell)GeneticsStatistical analysisMultivariate statisticalOrganismPhysiologia Plantarum
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A multivariate approach to the study of orichalcum ingots from the underwater Gela's archaeological site

2017

Abstract In this work a careful ICP-OES and ICP-MS investigation of 38 ancient ingots has been performed to determine both major components and trace elements content to find a correlation between the observed different features and the composition. The ingots, recovered in an underwater archaeological site of various finds near Gela (CL, Italy), were previously investigated by X-Ray Fluorescence (XRF) spectroscopy to know the composition of the alloy and it was found that the major elements were copper and zinc, in a ratio compatible with the famous orichalcum similar to the contemporary brass that was considered a precious metal in ancient times. The discovery of huge amount this alloy is…

Multivariate statisticsChemometric approach010401 analytical chemistryMetallurgyMineralogy02 engineering and technologyOrichalcum ingot021001 nanoscience & nanotechnologyLinear discriminant analysis01 natural sciencesArchaeology0104 chemical sciencesAnalytical ChemistryBrassvisual_artPrincipal component analysisOutliervisual_art.visual_art_mediumICP-OESICP-MSUnderwaterIngot0210 nano-technologyGeologySpectroscopy
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Automated facies identification by Direct Push-based sensing methods (CPT, HPT) and multivariate linear discriminant analysis to decipher geomorpholo…

2021

In ad 1362, a major storm surge drowned wide areas of cultivated medieval marshland along the north‐western coast of Germany and turned them into tidal flats. This study presents a new methodological approach for the reconstruction of changing coastal landscapes developed from a study site in the Wadden Sea of North Frisia. Initially, we deciphered long‐term as well as event‐related short‐term geomorphological changes, using a geoscientific standard approach of vibracoring, analyses of sedimentary, geochemical and microfaunal palaeoenvironmental parameters and radiocarbon dating. In a next step, Direct Push (DP)‐based Cone Penetration Testing (CPT) and the Hydraulic Profiling Tool (HPT) wer…

Multivariate statisticsGeography Planning and DevelopmentStorm surgeLinear discriminant analysis550 Geowissenschaften550 Earth sciencesFaciesEarth and Planetary Sciences (miscellaneous)ddc:551.36ddc:550.724DECIPHERIdentification (biology)CartographyGeologyEarth-Surface Processes
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Contribution to the taxonomy of the family Campulidae Odhner, 1926 (Digenea) by means of a morphometric multivariate analysis

1996

Digeneans of the family Campulidae occur exclusively in marine mammals, particularly in cetaceans. Their taxonomy is confused, being based on adult morphology only. We used a multivariate discriminant analysis of morphometric data to provide new evidence on the taxonomy of the Campulidae. Measurements of 217 specimens from 21 species of all seven genera of the family were taken. The percentage of specimens correctly assigned into their own species was 96.3%. The first three discriminant functions accounted for most of the variation between the species, which were grouped together in suprageneric groups along the first and the second function. The ordination pattern observed conforms partly …

Multivariate statisticsMultivariate analysisbiologyDiscriminant function analysisAnimal ecologyZoologyParasitologyTaxonomy (biology)Ordinationbiology.organism_classificationLinear discriminant analysisDigenea
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Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins

2008

Abstract Nowadays, the detection of fruit infected with Penicillium sp. fungi on packing lines is carried out manually under ultraviolet illumination. Ultraviolet sources induce visible fluorescence of essential oils, present in the skin of citrus and which are released by the action of fungi, thus increasing the contrast between sound and rotten skin. This work analyses a set of techniques aimed at detecting rotten citrus without the use of UV lighting. The techniques used include hyperspectral image acquisition, pre-processing and calibration, feature selection and segmentation using linear and non-linear methods for classification of fruits. Different methods such as correlation analysis…

Penicillium digitatumbiologybusiness.industryMachine visionHyperspectral imagingFeature selectionPattern recognitionMutual informationImage segmentationbiology.organism_classificationLinear discriminant analysisComputer visionSegmentationArtificial intelligencebusinessFood ScienceMathematics
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Decoding Emotional Valence from Electroencephalographic Rhythmic Activity

2017

We attempt to decode emotional valence from electroencephalographic rhythmic activity in a naturalistic setting. We employ a data-driven method developed in a previous study, Spectral Linear Discriminant Analysis, to discover the relationships between the classification task and independent neuronal sources, optimally utilizing multiple frequency bands. A detailed investigation of the classifier provides insight into the neuronal sources related with emotional valence, and the individual differences of the subjects in processing emotions. Our findings show: (1) sources whose locations are similar across subjects are consistently involved in emotional responses, with the involvement of parie…

PeriodicitybrainvastauksetSpectral Linear Discriminant AnalysisEmotionsneuronsEmotional valenceElectroencephalography050105 experimental psychology03 medical and health sciences0302 clinical medicineRhythmMultiple frequencytunteetmedicine0501 psychology and cognitive sciencesEEGta113Communicationmedicine.diagnostic_testbusiness.industry05 social sciencesDiscriminant AnalysisElectroencephalography16. Peace & justiceLinear discriminant analysis113 Computer and information scienceshermosolutEeg activityresponsesaivotbusinessPsychology030217 neurology & neurosurgeryDecoding methodsCognitive psychology
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Identification In Silico and In Vitro of Novel Trypanosomicidal Drug-Like Compounds

2012

Atom-based bilinear indices and linear discriminant analysis are used to discover novel trypanosomicidal compounds. The obtained linear discriminant analysis-based quantitative structure–activity relationship models, using non-stochastic and stochastic indices, provide accuracies of 89.02% (85.11%) and 89.60% (88.30%) of the chemicals in the training (test) sets, respectively. Later, both models were applied to the virtual screening of 18 in-house synthesized compounds to find new pro-lead antitrypanosomal agents. The in vitro antitrypanosomal activity of this set against epimastigote forms of Trypanosoma cruzi is assayed. Predictions agree with experimental results to a great extent (16/18…

PharmacologyDrugVirtual screeningbiologyStereochemistryIn silicomedia_common.quotation_subjectOrganic ChemistryLinear discriminant analysisbiology.organism_classificationBiochemistryIn vitroDrug DiscoverymedicineMolecular MedicineNifurtimoxTrypanosoma cruzimedicine.drugmedia_commonChemical Biology & Drug Design
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