Biostatistics and Bioinformatics Applications for Cancer Research
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Integrated Genomic Analysis of:
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Clustering Analysis
with NOJAH
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Supervised Principle Component Analysis
with GAC
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Survival Analysis
with CASAS
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Exploratory Analysis
with shinyEA
Exploratory Analysis:
shinyEA
Boxplots are a good descriptive measure to understand bivariate relationship between a continuous and a discrete variable. Understanding the actual data location is also informative. Jitter plots are especially useful when data points overlap. A beeswarm plot is also gaining popularity as it plots the data on a single axis and then offsets in the other direction to show volume or counts.
With shinyEA, you can:
- Use any data set with a continuous (Y) and a discrete (X) variable
- Further stratify based on a second discrete variable (X) variable
With shinyEA, you can:
- Create boxplots
- Create jitter plots superimposed on the boxplot
- Create beeswarm plot superimposed on the boxplot
