Three biological replicates were performed in each experiment. Statistical analysis was performed by using Microsoft Office Excel 2016 and SPSS 23.0 (IBM Corporation, Armonk, NY, USA). Comparisons were statistically evaluated by using one-way analysis of variance (ANOVA) and the Duncan’s multiple range test to determine the significant difference. Significance was set at p < 0.05. The figures used in this article were drawn by using OriginPro 2016 (OriginLab Corporation, Northampton, MA, USA) coupled with Adobe Illustrator CC. Hierarchical clustering analysis (HCA), PCA and OPLS-DA were carried out by using R (http://www.r-project.org/ ) in accordance with previously described methods [52 (link)].
Microsoft office excel 2016
Manufactured by IBM
Sourced in United States
Microsoft Office Excel 2016 is a spreadsheet software application developed by Microsoft. Its core function is to create, edit, and analyze numerical data through the use of cells, rows, and columns within a grid-like interface.
Automatically generated - may contain errors
5 protocols using microsoft office excel 2016
1
Multivariate Analysis of Biological Data
2
Retrospective Study of Parameter Correlation
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
According to regulations of the professional code for Physicians and after consultation with the Ethics Committee of the University of Cologne, an ethical review of the analysis was not required due to the retrospective nature of the study. Values are presented as mean ± standard deviation of the mean (SD). As a nonparametric comparison, Spearman’s rank correlation test was used to compare parameters in case of not normal distributed parameters. Statistical significance was set at p < 0.05. All analyses and data presentations were performed with Excel (Microsoft Office Excel 2016, Californian, USA), SPSS v. 22 (IBM Chicago, Illinois, USA) and GraphPad Software (GraphPad Prism 7, Inc, La Jolla, USA).
3
Aging Epigenome: DNA Methylation Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Correlations between chronological age and methylation status of each CpG site was assessed calculating Pearson correlation coefficient (r) and corresponding p values.
Data was split into a training and validation set, comprising 161 and 69 samples, respectively. Model accuracy was tested for both, training and validation set using the coefficient of determination R2, adjusted R2 value. Mean average deviation (MAD) and the root-mean-square error (RMSE) were computed on the training set (via cross-validation) as well as on the validation set. Statistical analyses were performed using R (version R-4.1.2) including the packages ggplot2 [27 ] and gridExtra [28 ] for the creation of figures, Microsoft Office Excel 2016, and IBM SPSS Statistics 25 (IBM Corporation, Somers, NY, USA).
To make it easier to follow, a detailed description of model development and validation regarding non-linear dependences and influence of the sex can be found in the “Results and discussion ” section.
Data was split into a training and validation set, comprising 161 and 69 samples, respectively. Model accuracy was tested for both, training and validation set using the coefficient of determination R2, adjusted R2 value. Mean average deviation (MAD) and the root-mean-square error (RMSE) were computed on the training set (via cross-validation) as well as on the validation set. Statistical analyses were performed using R (version R-4.1.2) including the packages ggplot2 [27 ] and gridExtra [28 ] for the creation of figures, Microsoft Office Excel 2016, and IBM SPSS Statistics 25 (IBM Corporation, Somers, NY, USA).
To make it easier to follow, a detailed description of model development and validation regarding non-linear dependences and influence of the sex can be found in the “
4
Metabolite Analysis and Pathway Profiling
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Qualitative and quantitative analysis of metabolites, as well as analysis of metabolite differences and metabolic pathways were referenced from Wang et al. (2018) [49 (link)]. The relative expressions were calculated using the 2−∆∆Cт method [50 (link)]. Statistical analysis was performed using Microsoft Office Excel 2016 and SPSS 23.0 (IBM Corporation, Armonk, NY, USA).
5
Detailed Methodology for Statistical Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Unless noted otherwise, all data are shown as median [1st quartile−3rd quartile]. Statistical comparisons with the Mann-Whitney-U-test were carried out in an explorative manner without correction for multiple comparisons in order to show tendencies and to identify potential differences for further investigation. Statistical significance was set at p < 0.05 and statistical results with p ≤ 0.1 were considered as trend. All analyses and data presentation were performed with Excel (Microsoft Office Excel 2016, Californian, USA), SPSS v. 21 (IBM Chicago, Illinois, USA), and GraphPad Software (GraphPad Prism, Inc., La Jolla, USA). Boxplots show median values, 1st quartile and 3rd quartile (box), minimum and maximum values (whiskers), and individual data points (dots). Outliers were identified based on the definition by Turkey, where values below [1st quartile−1.5 * interquartile range (IQR)] or above [3rd quartile + 1.5 * IQR] are considered suspected outliers and values below [1st quartile−3 * IQR] or above [3rd quartile + 3 * IQR] are considered outliers.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!