NATIONAL CANCER INSTITUTE - CANCER.GOV

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Total Results Found: 20

Total Results Found: 20

Dataviz + Cancer Microlab 2

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Bioinformatics

09/01/2020 - Each 90-minute microlab starts with an inspiring conversation between thought leaders from the Cancer Moonshot and creative visualization experts, followed by an opportunity to engage new colleagues from other fields in a fascinating discussion Read More...

R Introductory Series: Nice plot example

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Bioinformatics

These steps can be used to create a publish worthy figure. For example, let's create a volcano plot of our differential expression results. A volcano plot is a type of scatterplot that shows statistical Read More...

Data Visualization with R: Histogram

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Bioinformatics

Understanding data distribution can help us decide appropriate downstream steps in analysis such as which statistical test to use. A histogram is a good way to visualize distribution. It divides the data into bins or Read More...

Data Visualization with R: Histogram

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Bioinformatics

Understanding data distribution can help us decide appropriate downstream steps in analysis such as which statistical test to use. A histogram is a good way to visualize distribution. It divides the data into bins or Read More...

R Introductory Series 2023: Nice plot example

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Bioinformatics

These steps can be used to create a publish worthy figure. For example, let's create a volcano plot of our differential expression results. A volcano plot is a type of scatterplot that shows statistical Read More...

Personnel

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Confocal

Stephen Lockett, Ph.D. Director, OMAC locketts@nih.gov 301-846-5515 Valentin Magidson, Ph.D. Scientist magidsonv@mail.nih.gov 301-846-6092 Will Heinz, Ph.D. Scientist heinzwf@nih.gov 301-846-1239 OMAC Read More...

Data Visualization with R: Modifying legends

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Bioinformatics

We can modify many aspects of the figure legend using the function guide() . Let's see how that works and go ahead and customize some theme arguments. Notice that the legend position is specified in Read More...

BTEP Lessons: Modifying legends

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Bioinformatics

We can modify many aspects of the figure legend using the function guide(). Let's see how that works and go ahead and customize some theme arguments. Notice that the legend position is specified in Read More...

Data Visualization with R: Lesson 4

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Bioinformatics

/* Whole document: */ body{ font-family: Times; font-size: 16pt; } Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar Read More...

R Introductory Series 2023: ggplot2 Continued

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Bioinformatics

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...

Pricing

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CRTP

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