All data including fat deposition and the gene expression were evaluated assumption of ANOVA by PROC univariate procedure before analyzed by ANOVA using the Generalized Linear Model (GLM) procedure by SAS statistical software package, version 9.0 (SAS Institute, Inc., Cary, NC, USA), and the means separated by Tukey. The phenotypic correlation was calculated between gene expression and fat deposition traits using Pearson correlation.
Sas statistical software package version
Manufactured by SAS Institute
Sourced in United States
The SAS statistical software package, version, is a comprehensive data analysis and statistical software suite used for a wide range of applications. It provides a robust set of tools for data manipulation, statistical modeling, and advanced analytics. The software package is designed to handle large and complex datasets, enabling users to gain valuable insights and make informed decisions.
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Lab products found in correlation
5 protocols using sas statistical software package version
1
Evaluating Fat Deposition and Gene Expression
2
Stimulating Contacts and Clinical Outcomes
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Changes in scores between baseline and the 1-year follow-up were determined with respect to the same preoperative drug condition. The relationship between the stimulating contact coordinates and the postoperative changes was assessed using a univariate z correlation test. The mean coordinates of the stimulating contacts were chosen as cutoff points to further determine the effects of contact coordinates on the postoperative clinical outcome by using Student t tests. Statistical analyses were performed using the SAS statistical software package, version 9.2 (SAS Institute Inc., Cary, NC). The level of significance was set at p < 0.01.
3
Peripheral Neuropathy Analysis in BV
4
Rib Cartilage Development and Helix Growth
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All statistical analyses were performed using the SAS statistical software package, version 8.0 (SAS Institute, Cary, NC, USA) for Windows. We used the t-test to assess differences in rib cartilage development and helix growth between the groups. Correlation and linear regression analyses were performed between the actual cartilage length measured intraoperatively and the cartilage length measured preoperatively. A P < 0.05 was considered as statistically significant.
5
Analyzing Plant Responses to Flooding
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The data on gas exchange, chlorophyll fluorescence and growth were subjected to analysis of variance (ANOVA). The data of enzyme activities, metabolites of ROS and soluble protein were subjected to Student’s t-test between flooding treatment and control and between LS1 and LS2 at every time point. The data of carbohydrates and amino acids were subjected to Student’s t-test between flooding treatment and control at every time point. All analyses were conducted using the SAS statistical software package version 9.0 (SAS Institute Inc., USA).
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