Statistical analysis and graphing were performed using Microsoft Excel 2016 and GraphPad Prism 8 software (GraphPad software, San Diego, CA, U.S.A.), respectively. Results were presented as mean ± SEM from at least two independent experiments, and statistical testing was performed using the unpaired, two-tailed Student t-test. P values < 0.05 were considered statistically significant.
Microsoft excel 2016
Manufactured by GraphPad
Sourced in United States
Microsoft Excel 2016 is a spreadsheet software application that allows users to organize, analyze, and visualize data. It provides a grid-based interface for inputting, calculating, and formatting data.
Automatically generated - may contain errors
Lab products found in correlation
Prism 8, by GraphPad (17 mentions)
Prism 5, by GraphPad (6 mentions)
Prism 7, by GraphPad (3 mentions)
Prism 9, by GraphPad (3 mentions)
Prism 6, by GraphPad (3 mentions)
Sas v9, by SAS Institute (2 mentions)
Prism v7, by GraphPad (2 mentions)
Matlab, by MathWorks (1 mentions)
Axopatch 200b amplifier, by Molecular Devices (1 mentions)
Graph pad 5.0 for windows, by GraphPad (1 mentions)
Prism v8, by GraphPad (1 mentions)
Spss statistic 19, by IBM (1 mentions)
Infinite m1000, by Tecan (1 mentions)
Spss statistics 20, by IBM (1 mentions)
Imaris software v9, by Oxford Instruments (1 mentions)
Bitplane, by Oxford Instruments (1 mentions)
Quickcalc, by GraphPad (1 mentions)
Prism 6 or 7, by GraphPad (1 mentions)
Originpro 2016, by OriginLab (1 mentions)
Prism version 9, by GraphPad (1 mentions)
56 protocols using microsoft excel 2016
1
Statistical Analysis and Graphing
2
Viral Vector-Mediated Gene Delivery for In Vivo Study
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Microsoft Excel 2016 and GraphPad Prism 7.01 (GraphPad Software, CA, USA) were used for data analysis and graph generation. Data are represented in figures as Mean ± SEM. Animal group sizes were chosen based on preliminary data that suggested a large effect size. One animal from each group of mice was excluded from analysis after necropsy due to failed sinus injections. Final mouse group sizes are: AAV9 n-SIM at P1 (n = 10) and P4 (n = 4), AAV1 n-SIM at P1 (n = 4), AAV5 n-SIM at P1 (n = 4), AAV-PHP.eB n-SIM at P1 (n = 4), temporal vein injection at P1 (n = 4), ICV injections at P0-P1 (n = 10). For rat experiments, we excluded 4 animals from analysis due to failed injections (n = 4 rats analyzed). For statistical comparisons across groups, data distributions were found to be normal using the Shapiro-Wilk test, and the parametric t-test (unpaired; two-tailed) was computed using GraphPad Prism. Significance was set at p<0.05 in all cases.
3
Experimental Data Summarization Protocol
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The experimental results were derived from representative experiments that were repeated at least three times. Microsoft Excel 2016 and GraphPad Prism 8.4.3 (GraphPad Software, San Diego, CA, USA) were used to summarize and generate the graphs.
4
Statistical Analysis of DC and MH
5
Comprehensive Statistical Analysis Protocol
6
Patch-Clamp Analysis of hiPSC-Derived Cardiomyocytes
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Patch-clamp experiments were performed using an Axopatch 200B amplifier (Axon Instruments) at room temperature at least 10 days after the dissociation of the hiPSC—CMs in maturation medium. The pipettes were made from borosilicate glass capillaries and were fire polished. Action potentials (APs) were evaluated using the whole-cell configuration of the patch clamp technique (in current clamp mode with a sampling frequency of 5000 Hz). Spontaneous APs were recorded using the gap free mode during which electrical activity is recorded without intervention. After artificially lowering the maximum diastolic potential to −80 mV, APs were also elicited using a 3 ms, 200 to 2500-pA rectangular current pulse injection at several frequencies. The patch pipets (resistance 2–8 mΩ) were filled with a solution containing (in mM): 10 NaCl, 122 KCl, 1 MgCl2, 1 EGTA, and 10 Hepes. The pH was adjusted to 7.3 with KOH. The external current clamp solution was composed of (in mM): 154 NaCl, 5.6 KCl, 2 CaCl2, 1 MgCl2, 8 d -glucose, and 10 Hepes. The pH was adjusted to 7.3 with NaOH. All experiments were performed at room temperature. Data were analyzed using custom written MatLab (The MathWorks Inc.), Microsoft Excel 2016 and GraphPad Prism (version 7).
7
Statistical Analysis of Experimental Data
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Statistical analyses and graphing were performed using Microsoft excel 2016 and GraphPad Prism 8.0 software (GraphPad, San Diego, CA, USA). A two-tailed t-test was used for comparative groups. p-values ≤ 0.05 (two-tailed t-test) were considered significant. For IPA analyses, a Z score (2.0 ≤ Z ≤ −2.0) was considered significant.
8
Metabolomic Analysis of Dental Caries
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Data handling was done using Microsoft Excel 2016, GraphPad 5.0 for Windows (GraphPad Software, San Diego, CA, USA), and MetaboAnalyst 4.0 (https://www.metaboanalyst.ca/ )48 (link)–50 (link). For statistical evaluation, analytes that could be quantified (S/N > 10) in more than 80% of the samples per group were used. The data were log transformed. To evaluate the significant differences among the caries-free, caries-rehabilitated, and caries-active groups, univariate analysis was performed by one-way ANOVA. The FDR was set to default (0.05). Further information is found in the figure descriptions.
9
Comparative qRT-PCR and IPA Analysis
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Statistical analyses and graphing were performed using Microsoft excel 2016 and GraphPad Prism 8.0 software (GraphPad, San Diego, CA, USA). The Benjamini–Hochberg False Discovery Rate (FDR) method was used for multiple testing corrections. For comparative qRT-PCR analysis, p-values ≤ 0.05 (two-tailed t-test) were considered significant. For IPA analyses, a Z score (2.0 ≤ Z ≥ 2.0) was considered significant.
10
Vascular Disease Prediction Model
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Data distribution characteristics were analyzed by the Lilliefors and Shapiro–Wilk tests. For between-group comparisons, we applied nonparametric statistical tests: Mann–Whitney U test, and Spearman rank correlation analysis. Categorical variables were analyzed for absolute and relative frequency and were compared with Fisher’s exact test. We performed univariate regression analysis for the individual parameters and set up non-linear logistic regression models for the prediction of the low ABI values and the presence of polyvascular disease. Data processing was performed using Microsoft Excel 2016 and GraphPad Prism 9.03.
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