My ambitious goal is to write a machine learning algorithm that predicts authors. But let’s start with something simpler. An important part in a Data Science workflow is data preparation. Clean it, reformat it and make it usable for further analysis.
Figure 1: Photo by Patrick Tomasso on Unsplash I will work on a Poetry book called “New Poems” from D. H. Lawrence. You can download it from Project Gutenberg website which is a library of over 60,000 free eBooks.
Advances in microfluidic technologies enabled us to barcode single cells in lipid droplets and to resolve genomes of individual cells from a sequencing mixture (e.g, 10X Genomics). By using Single cell RNA sequencing (scRNA-seq) we can discover rare cell populations and genes that are specifically acting in those. Potential is high and the list of publications growing daily.
If you are a scientist in a biotech exploring novel targets those might be a great source to gather specific information.
This guide will help you to get your website online in a few minutes. Then, customize and add your own material in RStudio environment, push it to your Github repository and benefit from the continuous deployment feature of Netlify. It took me many days of work, reading tens of blog posts, YouTube videos and a lot of testing to figure out all of this.
Here is an up to date workflow of how I created my Blog on Github and deployed at Netlify.