Search results for " discriminant analysis"

showing 9 items of 179 documents

Water polo game-related statistics in women’s international championships as a function of final score differences

2016

The aims of this study were: (i) to compare water polo game-related statistics by context (winning and losing teams) and final score differences (using three categories – “close” games, “unbalanced...

media_common.quotation_subjectsports05 social sciencesPhysical Therapy Sports Therapy and RehabilitationContext (language use)030229 sport sciencesLinear discriminant analysisWater polo050105 experimental psychology03 medical and health sciences0302 clinical medicineStatisticsNotational analysis0501 psychology and cognitive sciencesOrthopedics and Sports MedicineFunction (engineering)Psychologysports.sports_positionmedia_commonInternational Journal of Performance Analysis in Sport
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Prediction of quinolone activity against Mycobacterium avium by molecular topology and virtual computational screening.

2000

ABSTRACT We conducted a quantitative structure-activity relationship study using a database of 158 quinolones previously tested against Mycobacterium avium-M. intracellulare complex in order to develop a model capable of predicting the activity of new quinolones against the M. avium-M. intracellulare complex in vitro. Topological indices were used as structural descriptors and were related to anti- M. avium-M. intracellulare complex activity by using the linear discriminant analysis (LDA) statistical technique. The discriminant equation thus obtained correctly classified 137 of the 158 quinolones, including 37 of a test group of 44 randomly chosen compounds. This model was then applied to 2…

medicine.drug_classStereochemistryComputational biologyModels BiologicalStructure-Activity RelationshipAnti-Infective AgentsMoxifloxacinPredictive Value of TestsmedicinePharmacology (medical)Computer SimulationMechanisms of Action: Physiological EffectsAntibacterial agentPharmacology4-QuinolonesbiologyLinear discriminant analysisbiology.organism_classificationQuinoloneMycobacterium avium ComplexGatifloxacinInfectious DiseasesSparfloxacinMolecular topologymedicine.drugMycobacteriumAntimicrobial agents and chemotherapy
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2017

OBJECTIVE Traditionally, gait analysis has been centered on the idea of average behavior and normality. On one hand, clinical diagnoses and therapeutic interventions typically assume that average gait patterns remain constant over time. On the other hand, it is well known that all our movements are accompanied by a certain amount of variability, which does not allow us to make two identical steps. The purpose of this study was to examine changes in the intra-individual gait patterns across different time-scales (i.e., tens-of-mins, tens-of-hours). METHODS Nine healthy subjects performed 15 gait trials at a self-selected speed on 6 sessions within one day (duration between two subsequent ses…

medicine.medical_specialtyMultidisciplinarySupervised learningMotor controlContext (language use)030229 sport sciencesLinear discriminant analysisGaitRegression03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationGait analysismedicineGround reaction forcePsychology030217 neurology & neurosurgeryPLOS ONE
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Prognostic Value of Radiomics Signature By Diagnostic 18F-FDG PET/CT Analysis in Aggressive Non-Hodgkin's Lymphoma

2018

Abstract BACKGROUND Although the overall prognosis of patients with aggressive non-Hodgkin's lymphoma (NHL) has improved, nearly a third of patients will have refractory disease or relapse. Identification of these high-risk patients using traditional prognostic factors is limited. PET is the recommended imaging modality for the staging of FDG-avid lymphoma but the value of a comprehensive new imaging biomarkers analysis applied to PET for the prediction of patients outcome has still not been deeply investigated. New metrics estimating the overall tumor burden such as metabolic tumor volume (MTV) and those that may capture intratumoral biological heterogeneity such as total lesion glycolysis…

medicine.medical_specialtybusiness.industryImmunologyCell BiologyHematologyMetabolic tumor volumemedicine.diseaseLinear discriminant analysisBiochemistryLymphomaNon-Hodgkin's lymphomaCorrelationRadiomicsKurtosisMedicineFdg pet ctRadiologybusinessBlood
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Multiple factor analysis: principal component analysis for multitable and multiblock data sets

2013

multiple factor analysis barycentric discriminant analysis (mufabada)statis[STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]principal component analysismultiblock correspondence analysisbarycentric discriminant analysis (bada)generalized procrustes analysis (gpa)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH][ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]consensus pca[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]multiblock pcamultiple factor analysis (mfa)multiple factorial analysis[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]multitable pca[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]indscalmultiblock barycentric discriminant analysis (mudica)generalized singular value decomposition
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A fast liquid chromatography-mass spectrometry method combined with linear discriminant analysis for the characterization of extra virgin sicilian ol…

2008

olive oils linear discriminant analysisliquid chromatography-mass spectrometry
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Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

2019

Sustainable management of orchard fields requires detailed information about the tree types, which is a main component of precision agriculture programs. To this end, hyperspectral imagery can play a major role in orchard tree species mapping. Efficient use of hyperspectral data in combination with field measurements requires the development of optimized band selection strategies to separate tree species. In this study, field spectroscopy (350 to 2500 nm) was performed through scanning 165 spectral leaf samples of dominant orchard tree species (almond, walnut, and grape) in Chaharmahal va Bakhtiyari province, Iran. Two multivariable methods were employed to identify the optimum wavelengths:…

optimal spectral wavelengths010504 meteorology & atmospheric sciences0211 other engineering and technologiesRed edge02 engineering and technologyfield spectroscopy; orchards species; ANOVA–RFC–PCA; PLS; optimal spectral wavelengths; discriminant analysis01 natural sciencesPartial least squares regressionlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensinganova–rfc–pcaorchards speciesNear-infrared spectroscopyHyperspectral imaging15. Life on landplsLinear discriminant analysisdiscriminant analysisfield spectroscopyRandom forestTree (data structure)Principal component analysisGeneral Earth and Planetary Scienceslcsh:QRemote Sensing
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Acoustic detection and classification of river boats

2011

We present a robust algorithm to detect the arrival of a boat of a certain type when other background noises are present. It is done via the analysis of its acoustic signature against an existing database of recorded and processed acoustic signals. We characterize the signals by the distribution of their energies among blocks of wavelet packet coefficients. To derive the acoustic signature of the boat of interest, we use the Best Discriminant Basis method. The decision is made by combining the answers from the Linear Discriminant Analysis (LDA) classifier and from the Classification and Regression Trees (CART) that is also accompanied with an additional unit, called Aisles, that reduces fal…

ta113Acoustics and UltrasonicsNetwork packetbusiness.industryPattern recognitionLinear discriminant analysisRegressionWaveletDiscriminantAcoustic signatureProcess controlArtificial intelligencebusinessClassifier (UML)MathematicsApplied Acoustics
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Distinctive attributes for predicted secondary structures at terminal sequences of non-classically secreted proteins from proteobacteria

2008

Abstract C- and N-terminal sequences (64 amino acid residues each) of 89 non-classically secreted type I, type III and type IV proteins (Swiss-Prot/TrEMBL) from proteobacteria were transformed into predicted secondary structures. Multivariate analysis of variance (MANOVA) confirmed the significance of location (C- or N-termini) and secretion type as essential factors in respect of quantitative representations of structured (a-helices, b-strands) and unstructured (coils) elements. The profiles of secondary structures were transcripted using unequal property values for helices, strands and coils and corresponding numerical vectors (independent variables) were subjected to multiple discriminan…

terminal sequencesMultiple discriminant analysisGeneral Immunology and MicrobiologybiologyQH301-705.5General Neurosciencesecondary structureComputational biologyLinear discriminant analysisbiology.organism_classificationBioinformaticsdiscriminant analysisGeneral Biochemistry Genetics and Molecular BiologyCross-validationSecretory proteinDiscriminantprotein secretionSecretionProteobacteriaBiology (General)General Agricultural and Biological SciencesProtein secondary structureproteobacteriaOpen Life Sciences
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