Global ETD Search
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Showing 1 to 18 of 18 for “"Partial Least Squares Regression (plsr)"”.
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Rapid Assessment of Quality Parameters in Processing Tomatoes using Handheld and Bench-top Infrared Spectrometers and Multivariate Analysis
… the FT-IR crystal (15-40¿¿L) to obtain spectra. Partial least squares regression (PLSR) was used to generate correlation models, both calibration and validation, between the component concentration and the sample spectra. The PLS validation models showed good ability in estimating the sugars, …
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Quantitative analysis of TLR-4-mediated cell responses in murine macrophages
… models. Particularly, we found that the partial least squares regression (PLSR) models built using the ratio of phosphorylated Jun N-terminal kinase (JNK) and extracellular signal regulated kinase (ERK) predicted LPS plus SB202190-induced apoptosis accurately even following perturbation …
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Applying secondary ion mass spectrometry to cellular and model membranes to image component distribution and quantify composition
… analysis (MVA). TOF-SIMS and the MVA method partial least squares discriminant analysis (PLS-DA) was used to identify the differentiation stage of hematopoietic cells. Since TOF-SIMS is a location-specific technique, it can be used to investigate how varying chemical and material environments …
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The construction of a partial least squares biplot
… of data. Another possible employment is in Partial Least Squares (PLS). First introduced as a regression method, PLS is more flexible than multivariate regression, but better suited than Principal Component Regression (PCR) for the prediction of a set of response variables from a large set …
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The Applications of Raman Spectroscopy Assisted Urinalysis: Hematuria and Bladder Cancer Detection
… leave-one-out cross-validation (LOOCV), and partial least squares regression (PLSR). These components of the data pipeline serve to output qualitative or quantitative data, depending on the application. The Rametrix toolbox encompasses the tools required to transform and assess Raman spectra …
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Studies on new approaches of chiral discrimination for chiral analysis by regression modeling of spectral data.
… spectroscopic techniques and multivariate regression modeling were investigated. This is in view of the urgent need for rapid and improved strategies for chiral analysis due to the rising preference and demand for chiral drugs. In the first approach, (S)-(+)-1,2-propanediol or the racemic …
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Developing near- and mid-infrared spectroscopy analysis methods for rapid assessment of soil quality in Illinois
… practices and so were expected to vary in SQ. Partial Least Squares Regression (PLSR) and Random Forest (RF) algorithms were used to predict SQ indicators, including soil organic carbon (SOC), total N (TN), soil C and N ratio (C: N), soil pH, particulate organic matter (POM), potentially …
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Citrobacter rodentium induced liver changes in C57BL/6 mice : animal model of acute inflammatory stress and injury
… principal components analysis (PCA), clustering, partial least squares regression (PLSR), and a combination mutual-information-correlation network, enabled detection and visualization of both linear and nonlinear dependencies between molecules and physiological states across tissues and …
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Secondary ion mass spectrometry as a tool to evaluate chemical composition within model and cellular membranes
… lipid membranes was made possible by performing partial least squares regression (PLSR) on the resulting mass spectrum. Here, calibration samples were modeled, and then used to quantitatively predict the content of unknown membrane samples. Lastly, a TOF-SIMS MVA approach was utilized to evaluate …
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Developing a spectroscopy-based high throughput assay for anthocyanin content in corn
… corn samples, despite having multiple linear regression (MLR) models with 0.60 > R2 > 0.70. The poor predictive performance was due to the presence of water insoluble, red colored pigments called phlobaphenes which exhibited similar L*a*b* values as anthocyanins. The first partial least …
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Legacy effects of cover crop monocultures and mixtures on soil inorganic nitrogen, total phenolic content, and microbial communities on two organic farms in Illinois
… associated with individual microbial taxa using partial least squares regression (PLSR) modeling. I found the greatest bacterial -diversity under Brassicas and the lowest under the plant-free control plots. Fungal diversity, in contrast, was greatest under the plant-free control plots and lowest …
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Compositional analysis and classification of Miscanthus using Fourier transform near infrared spectroscopy
… transform near infrared (FT-NIR) spectroscopy, partial least squares regression (PLSR), and linear discriminant analyses (LDA) to provide quantitative and qualitative measures of Miscanthus composition were developed. Results showed large variations (mean ± S.D.) in glucan (40.4 ± 2.70%), xylan …
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A multiplexed approach for quantitative profiling of the translatome using bioorthogonal non-canonical amino acids
… and sensitive (MM415) melanoma cell lines. Using partial least squares regression (PLSR) and gene set enrichment analysis (GSEA), upregulation of melanoma lineage-dependent transcription factor MITF and MITF targets was observed in MM415s after binimetinib treatment, with no such response in the …
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Application of fluorescence spectroscopy for the in-vial investigation of protein solutions
… of the proteins was correlated. Finally, a partial least squares regression (PLSR) model relating the anisotropy and scattering measurements to reference CD and SEC measurements was established from a sample set of standardised and stored samples. A total of 72 spectra were collected for the …
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Mapping desertification: towards an approach for mapping regional land degradation in drylands
… data. These variables were used in a series of Partial Least Squares regression (PLSr) models to predict either the probability of a plot belonging to one of the three latent states, or the field estimated perennial plant and bare ground cover. The best performing PLSr model had ten remote …
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Spectroscopy as a tool for the management of soil acidification
… (MIR) soil spectroscopy in combination with Partial Least Squares Regression (PLSR) to measure and monitor, at high spatial resolution, the management of surface and subsurface acidity via lime application were assessed. Spectral analyses were performed on both soil and plant samples, to …
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The biomechanical consequences of body size differences in humans
… adults using two statistical methods: log-log regression and principal component analysis (PCA). Results of this study indicated agreement between patterns of observed allometry in the two methods in the pooled sex sample, but not in magnitude, where PCA resulted in exaggerated allometry …
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Prediction of moisture and protein in corn kernels from multiple origins based on NIR-PLSR with gradient boosting machines for feature selection
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01