This slide is belonging to the journal club in our group that I introduced NEAT package, wrote by Signorelli, M. et al.

Rasmus Bååth (Senior Data Scientist at King [Activision Blizzard]): "The Nobel Prize is perhaps the worlds most well known scientific award. Every year it is given to scientists and scholars in chemistry, literature, physics, medicine, economics, and peace. The first Nobel Prize was handed out in 1901, and at that time the prize was Eurocentric and male-focused, but nowadays it's not biased in any way. Surely, right? Well, let's find out! In this Project, you get to explore patterns and trends in over 100 years worth of Nobel Prize winners. What characteristics do the prize winners have? Which country gets it most often? And has anybody gotten it twice? It's up to you to figure this out." https://www.datacamp.com/projects/309

Laura Ellis: "The Old School and New School Way: A while back I had tweeted about a really cool technique that can be used with ggplot2 in R to highlight a subset of your data, while keeping in perspective the trend of the full data set. I found out about this trick through a bit of a tangled web. Please stay with me while I lay it out for you. It all started with a tweet that Mara Averick shared from a blog that Simon Jackson wrote about a technique that Hadley Wickham discussed in his ggplot2 book. Confused yet? Well, the good news is that actually implementing the technique is a lot easier than following the discovery path!"

This is a blueprint of Tidyverse cheatsheet in HTML! :)

This is my presentation for Ph.D. student of Systems Biology (Pasteur Institute of Iran). These slides were provided for the first session of Metabolomics with R course. These are mainly based on "xcms R package".

A good coding style is like using correct punctuation. You can manage without it, but it sure makes things easier to read. The following guide describes the style that I use. It is based on Google’s R style guide and “Advanced R, by Hadley Wickham”, with a few tweaks. The goal of the R Programming Style Guide is to make our R code easier to read, share, and verify.

This is my presentation for Ph.D. student of Microbiology (Shahed University). These slides were provided for the first session of Systems Biology course. These are mainly based on "Systems Biology A Text Book" and "R packages". Hope you enjoy and welcome to your comment! (jafareem@gmail.com)