We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.

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Featuring:

Daniel Chen – Twitter, GitHub, Website
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

R Conference:

Website
Twitter: @rstatsdc
Tickets
Discount code PRACTICALAI20 is good for 20% off every ticket type, including the conference & all workshops

Links relevant to the show:

William Stafford Noble 2009 - A Quick Guide to Organizing Computational Biology Projects
Greg Wilson, et al. 2014: “Best Practices for Scientific Computing”
Greg Wilson, et al. 2017: “Good enough practices in scientific computing”
Jenny Bryan’s code smells: link 1 and link2
Jenny Bryan on naming things
JD Long’s talk at rstudio::conf this year about being empathetic
python’s version of pyprojroot
“Be kind: all else is details”. – Greg Wilson, Teaching Teach Together – The Rules

Books

“Pandas for Everyone” by Daniel Chen
“Advanced R” by Hadley Wickham

Something missing or broken? PRs welcome!

R, Data Science, & Computational Biology 54:08 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

R, Data Science, & Computational Biology