To analyze and plot the data, we used Microsoft Excel 2013 and GraphPad Prism 6. We performed a D’Agostino and Pearson normality test, and the data found to have a normal distribution were analyzed by a two-tailed t test with Welch correction. In the case of multiple comparisons, we used a one-way ANOVA with Bonferroni post test. The data that did not pass the normality test were subjected to a two-tailed Mann–Whitney U test or, in the case of multiple comparisons, a Kruskal–Wallis test with Dunns post test. Error bars represent SEM; ***p ≤ 0.0001, **p ≤ 0.001, *p ≤ 0.01, ns = nonsignificant.
Microsoft excel 2013
Manufactured by GraphPad
Sourced in United States
Microsoft Excel 2013 is a spreadsheet software application that provides a suite of tools for organizing, analyzing, and visualizing data. It offers functions for performing calculations, creating charts and graphs, and managing large datasets.
Automatically generated - may contain errors
Lab products found in correlation
Prism 6, by GraphPad (6 mentions)
Prism 7, by GraphPad (4 mentions)
Prism software v6, by GraphPad (3 mentions)
Facscalibur c6, by BD (2 mentions)
Prism 5, by GraphPad (2 mentions)
Prism 8, by GraphPad (2 mentions)
Spss statistics for windows version 20, by IBM (1 mentions)
Zetasizer nano z, by Malvern Panalytical (1 mentions)
Zetasizer software, by Malvern Panalytical (1 mentions)
Prism statistical software, by GraphPad (1 mentions)
Prism v7, by GraphPad (1 mentions)
Spss statistic, by IBM (1 mentions)
Spss statistics for windows version, by IBM (1 mentions)
30 protocols using microsoft excel 2013
1
Statistical Analysis of Experimental Data
2
Statistical Analysis of Biological Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Before analysis, the normal distribution of values was verified with the Shapiro–Wilk normality test using IBM SPSS Statistics for Windows, Version 20.0; in all cases the probabilities were >0.05, denoting normally distributed data sets. For statistical analysis, the measurements and experimental values from independent experiments were estimated with the two-tailed paired Student's t-test. All the results are shown as mean±s.d. values of at least four independent experiments. The exact P values are described and specified in each figure legend. P values <0.05 (P<0.05) were considered statistically significant. All analyses were done using Microsoft Excel 2013 or GraphPad Prism 6.05 softwares.
3
Cognitive and Motor Function Assessment
4
Statistical Analyses of Biological Experiments
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were conducted using Microsoft Excel 2013 and Prism software v6.0 (GraphPad Software, La Jolla, CA, USA). Results were reported as mean ± SD (standard deviation) as indicated in the figure legends unless otherwise stated. We performed analyses of significance using Student’s t-test assuming equal variance. Continuous biological variables were assumed to follow a normal distribution. A p value of <0.05 was considered to indicate statistical significance. Survival in mouse experiments was represented as a Kaplan-Meier curve and Log-rank test was used to determine the significance. All the experiments with representative images have been repeated at least twice and representative images were shown. For experiments with animals ‘‘n’’ represents number of animals.
Gene set enrichment analysis was performed as previously described (Subramanian et al., 2005 (link)) using the javaGSEA desktop software. The statistical significance of enrichment scores was estimated empirically using a null distribution generated by performing gene permutations on the gene expression data.
Information on the number of biological replicates for each experiment, mice age and sex, can be found in theMethods Details section and in the Figure Legends. Statistical analysis are also indicated in the Figure Legends.
Gene set enrichment analysis was performed as previously described (Subramanian et al., 2005 (link)) using the javaGSEA desktop software. The statistical significance of enrichment scores was estimated empirically using a null distribution generated by performing gene permutations on the gene expression data.
Information on the number of biological replicates for each experiment, mice age and sex, can be found in the
5
Statistical Analyses for Research
6
Immunostaining and Imaging Analysis Protocol
7
In Vitro and In Vivo Glioblastoma Growth Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All results are presented as means ± standard error of the mean (SEM). Independent in vitro experiments were conducted using an unpaired two-tailed Student’s t-test, and a two-way ANOVA was used to analyze the differences in in vivo growth of GBM at different time points during each treatment. Significance was defined as a p-value less than 0.05. Microsoft Excel 2013 and GraphPad Prism6 software (GraphPad Software, San Diego, CA, USA) were used for the statistical calculation and analyses.
8
CLP Assembly and Disassembly Kinetics
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
CLP assembly was monitored using DLS. For assembly reactions, CLPs were assembled by adding cargo and NaCl in Buffer C (20 mM HEPES, 0.1 mM EDTA at pH 6.8) to the indicated concentration. Assembly was initiated by adding CP to obtain a final concentration of 3 µM in a final volume of 30 µl. Measurements were taken on a Malvern Zetasizer™ Nano Z with the attenuator set to 8 and the measurement window at 4.2 mm. Each measurement consisted of at least three runs, each run averaged over 10 s. A peak corresponding to the hydrodynamic diameter of the core like particles (~48 nm) was observed. The data was plotted with the percent derived count rate on the Y-axis and the salt concentration on the X-axis. For disassembly reactions CLPs were pre-assembled in 20 mM salt and diluted into Buffer C containing indicated amounts of NaCl. The final concentration of CP was 2.5 µM in a volume of 30 µl for each reaction. The data was visualized using the Zetasizer software from Malvern and analysis was done using Microsoft Excel 2013 and GraphPad Prism.
9
Statistical Analyses of Biological Experiments
10
Quantitative Analysis of Body Weight
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Body weight data over time were evaluated by determining the area under the curve (AUC) for each animal. Correlations were computed using Pearson correlation coefficients (r). Values for HOMA‐IR were calculated using the following formula: fasting blood glucose (mg/dl) × fasting insulin (μU/mL)/405 (Matthews et al. 1985 ). Statistical comparisons between two groups were evaluated using unpaired two‐tailed Student's t‐test. All numerical data were presented as mean ± SEM. Significance was accepted at P < 0.05. Data analysis was performed with Microsoft Excel 2013 and GraphPad Prism Statistical Software version 6.05.
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!