freeCount: A Coding Free Framework for Guided Count Data Visualization and Analysis-Reference-Cited by-同舟云学术

freeCount: A Coding Free Framework for Guided Count Data Visualization and Analysis

Published:2024-07-17 Issue: Volume: Page:1-4
ISSN:
Container-title:Practice and Experience in Advanced Research Computing 2024: Human Powered Computing
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Author:

Brooks Elizabeth Mae¹^ORCID,Sanders Sheri A¹^ORCID,Pfrender Michael E¹^ORCID

Affiliation:

1. Biological Sciences, University of Notre Dame, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626203.3670605

Reference19 articles.

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2. JJ Allaire Yihui Xie Christophe Dervieux Jonathan McPherson Javier Luraschi Kevin Ushey Aron Atkins Hadley Wickham Joe Cheng Winston Chang and Richard Iannone. 2024. rmarkdown: Dynamic Documents for R. https://github.com/rstudio/rmarkdown R package version 2.27.

3. Curare and GenExVis: a versatile toolkit for analyzing and visualizing RNA-Seq data

4. Winston Chang Joe Cheng JJ Allaire Carson Sievert Barret Schloerke Yihui Xie Jeff Allen Jonathan McPherson Alan Dipert and Barbara Borges. 2024. shiny: Web Application Framework for R. https://shiny.posit.co/ R package version 1.8.1.9000 https://github.com/rstudio/shiny.

5. Yunshun Chen Lizhong Chen Aaron T. L. Lun Pedro L. Baldoni and Gordon K. Smyth. 2024. edgeR 4.0: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets. https://doi.org/10.1101/2024.01.21.576131 arXiv:https://www.biorxiv.org/content/early/2024/01/24/2024.01.21.576131.full.pdf