Interesting links

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Compilation of interesting links on the areas that I am interested in.

Blogroll

Causal Analysis in Theory and Practice
Statistical Modeling, Causal Inference, and Social Science
inFERENCe

R Programming

Courses
Programming with R at Software Carpentry
Data Analysis and Visualization in R for Ecologists at Data Carpentry
R for Social Scientists at Data Carpentry
Online learning R at RStudio
Learn R at Hackr.io
Learn R at Kaggle

Manuals
Manuals at R Project

Bioinformatics

Courses
Rosalind
Path to a free self-taught education in Bioinformatics! on Ossu’s repository
An Introduction To Applied Bioinformatics on Applied-bioinformatics’ repository

Other
List compiled by Inge Jonassen
Another list at Bioinformatics.ca

Papers on Machine Learning and Bioinformatics from here.

Genomics

Proteomics

Text Mining 

Systems Biology

Microarray

Causal Inference Analysis

Courses, classes and talks
A Crash Course in Causality on Coursera by Jason Roy
Causal Diagrams: Draw Your Assumptions Before Your Conclusions by Miguel Hernán
Causal Inference Bootcamp on YouTube by Matt Masten
Causality on YouTube by Jonas Peters

Books
The Book of Why by Judea Pearl
Causal Inference Book by Miguel Hernan

Conferences
Conference on Neural Information Processing Systems (12/2019)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (09/2019)
ACM SIGKDD Workshop on Causal Discovery (08/2019)
AAAI Spring Symposium (03/2019)
European Causal Inference Meeting (EuroCIM) (03/2019)

Scientific Writing

Books and articles
Writing guide by Jordan Peterson
A guide for scientific writing by Utrecht University
Successful scientific writing by Janice and Robert Matthews
A Guide to Quantitative Writing in the Health Sciences by Steve Luby and Dorothy Southern
Science Research Writing for Non-Native Speakers of English by Hilary Glasman-Deal