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Umetrics simca p 17 statistical software
Simca P 17 Statistical Software, supplied by Umetrics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simca-p+software+program/17+p+simca+software+statistical/pm36514238-161-20-24
Average 86 stars, based on 1 article reviews
simca p 17 statistical software - by Bioz Stars, 2026-11
86/100 stars

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Related Articles

Gas Chromatography-Mass Spectrometry:

Article Title: Prediction of irritable bowel syndrome by integrating urine metabolites and gut microbiota
Article Snippet: .. Urine data variance was visualized using partial least squares discriminant analysis (PLS-DA) score plots of GC-MS data generated with SIMCA-P 17.0 (Umetrics, Umea, Sweden). ..

Article Title: Prediction of irritable bowel syndrome by integrating urine metabolites and gut microbiota.
Article Snippet: .. Urine data variance was visualized using partial least squares discriminant analysis (PLS-DA) score plots of GC-MS data generated with SIMCA-P 17.0 (Umetrics, Umea, Sweden). ..

Generated:

Article Title: Prediction of irritable bowel syndrome by integrating urine metabolites and gut microbiota
Article Snippet: .. Urine data variance was visualized using partial least squares discriminant analysis (PLS-DA) score plots of GC-MS data generated with SIMCA-P 17.0 (Umetrics, Umea, Sweden). ..

Article Title: Prediction of irritable bowel syndrome by integrating urine metabolites and gut microbiota.
Article Snippet: .. Urine data variance was visualized using partial least squares discriminant analysis (PLS-DA) score plots of GC-MS data generated with SIMCA-P 17.0 (Umetrics, Umea, Sweden). ..

Software:

Article Title: Exploring the relationship between endogenous steroids and nausea and vomiting in pregnancy: A longitudinal prospective study.
Article Snippet: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record.. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article.. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Article Title: Loss of olfaction reduces caterpillar performance and increases susceptibility to a natural enemy
Article Snippet: .. In addition, the abundance of volatiles as peak heights was imported into SIMCA- P 17 statistical software (Umetrics, Sweden), and the data were analyzed by MVDA. ..

Article Title: Insect exuviae as soil amendment affect flower reflectance and increase flower production and plant volatile emission.
Article Snippet: .. Since there was no direct correlation with the aboveground plant mass (low R2), the obtained peak heights were imported into SIMCA‐P 17 statistical software (Umetrics) without correcting for the plant mass, followed by log‐transformation, mean‐ centreing and unit‐variance scaling before subjecting the data to multivariate data analysis. ..

Article Title: Loss of olfaction reduces caterpillar performance and increases susceptibility to a natural enemy
Article Snippet: .. In addition, the abundance of volatiles as peak heights was imported into SIMCA-P 17 statistical software (Umetrics, Sweden), and the data were analyzed by MVDA. ..

other:

Article Title: Phytopathogens Increase the Preference of Insect Vectors to Volatiles Emitted by Healthy Host Plants.
Article Snippet: Phytopathogen infections not only affect the physiology of host plants but also the preference of insect vectors; these modifications may increase the spread of infection.. For this, we determined the effects of “Candidatus Liberibacter asiaticus” (CLas) infection on the preference of an insect vector (Diaphorina citri) for its uninfected or CLas-infected host (Citrus sinensis) and found that the infected vector preferred uninfected citrus, while the uninfected vector preferred infected citrus.. We identified two compounds, (Z)-3 hexenyl and methyl salicylate, that were differentially abundant in the volatiles emitted by infected and uninfected citrus and two odorant-binding protein (OBP) genes differentially expressed between infected and uninfected vectors.



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