https://github.com/stephaniehicks/cshlgsd2022

Course material from Stephanie Hicks for CSHL Genome Scale Data 2022
https://github.com/stephaniehicks/cshlgsd2022

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Course material from Stephanie Hicks for CSHL Genome Scale Data 2022

• Host: GitHub
• URL: https://github.com/stephaniehicks/cshlgsd2022
• Owner: stephaniehicks
• Created: 2022-07-02T04:40:36.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-07T11:34:16.000Z (over 2 years ago)
• Last Synced: 2023-08-01T07:19:39.935Z (over 1 year ago)
• Language: R
• Size: 12.6 MB
• Stars: 0
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CSHL Genome Scale Data: Stephanie Hicks

Welcome to the course material from Stephanie Hicks at the CSHL Statistical Methods for Genome Scale Data 2022 course! 

### Key resources

- Workshop material: [pkgdown website](https://stephaniehicks.com/cshlgsd2022)

- Code: [GitHub](https://github.com/stephaniehicks/cshlgsd2022)

- Slides: [Google drive](https://drive.google.com/drive/folders/1RhTVWtH5JyCYWHWYJcksPxNIdj_TltB6?usp=sharing)

### Instructor

```

Stephanie C. Hicks, PhD

Associate Professor, Biostatistics, Johns Hopkins Bloomberg School of Public Health

Faculty member, Johns Hopkins Data Science Lab

Pronouns: she/her 

```

- web: https://www.stephaniehicks.com

- email: [email protected]

- twitter: [@stephaniehicks](http://twitter.com/stephaniehicks)

### Getting started

The best place to start is to clicking on "Get Started" in the top navigation bar on this page. 

### Acknowledgements

This course website was developed and is maintained by Stephanie C. Hicks.

The following individuals have contributed to improving the course or materials have been adapted from their courses: 

- [Keegan Korthauer](https://kkorthauer.org)

- [Orchestrating Single-Cell Analysis with Bioconductor](https://bioconductor.org/books/release/OSCA) (OSCA) contributors (cite: [Amezquita et al. 2019](https://doi.org/10.1038/s41592-019-0654-x))

- [Orchestrating Spatially-Resolved Transcriptomics Analysis with Bioconductor](https://lmweber.org/OSTA-book) (OSTA) contributors (work in progress)

The course materials are licensed under the Creative Commons Attribution 4.0 International License. Linked and embedded materials are governed by their own licenses. I assume that all external materials used or embedded here are covered under the educational fair use policy. If this is not the case and any material displayed here violates copyright, please let me know and I will remove it.