Unscrambler software version 9

Manufactured by CAMO Software

Sourced in Norway

Unscrambler is a software application for multivariate data analysis. Version 9.7 provides advanced statistical and visualization tools for the exploration and modeling of complex data sets.

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Lab products found in correlation

Spss statistics software version 19, by IBM (1 mentions)

Close spelling variants of this product

Unscrambler Version 9.7 Unscrambler 9.7 Unscrambler software The Unscrambler

3 protocols using unscrambler software version 9

Spectral Characterization of Tissue Biochemistry

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Spectra from each cluster were assayed using PCA for differentiating biochemical elemental of tissue. The process was using 2nd derivative and vector normalized (Savitzky-Golay method, 3rd polynomial, 9 smoothing points) from the Unscrambler software version 9.7 (CAMO Software AS, Oslo, Norway).

Sangpueak R., Phansak P., Thumanu K., Siriwong S., Wongkaew S, & Buensanteai N. (2021). Effect of Salicylic Acid Formulations on Induced Plant Defense against Cassava Anthracnose Disease. The Plant Pathology Journal, 37(4), 356-364.

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Multivariate Analysis of Experimental Data

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Hierarchical clustering (HCA) and correlation analysis were carried out using IBM SPSS Statistics software, version 19.0 (IBM Corp., Armonk, New York, NY, USA). Cluster analysis was run using the complete linkage method. Correlation analysis between was performed via Pearson’s correlation. Principal component analysis (PCA) was carried out using Unscrambler software, version 9.7 (CAMO Software AS, Oslo, Norway).

Semeniuc C.A., Socaciu M.I., Socaci S.A., Mureșan V., Fogarasi M, & Rotar A.M. (2018). Chemometric Comparison and Classification of Some Essential Oils Extracted from Plants Belonging to Apiaceae and Lamiaceae Families Based on Their Chemical Composition and Biological Activities. Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry, 23(9), 2261.

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Analyzing Antioxidant Properties

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All the samples were analyzed in triplicate; the average and the relative SD were calculated using the Excel software package. Data were subjected to one-way analysis of variance (ANOVA) and comparison between means was determined according to Duncan's test. Significant differences were accepted at p ≤ 0.05. Pearson correlation coefficient between total phenolic content and scavenging activity was calculated using Microsoft Excel software package. Principal Component Analysis (PCA) was performed using Unscrambler Software, version 9.7 (CAMO Software AS, Norway).

Banc R., Loghin F., Miere D., Ranga F., & Socaciu C. (2020). Phenolic composition and antioxidant activity of red, rosé and white wines originating from Romanian grape cultivars. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 48(2), 716-734.

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