github.com - RAINBOWR(Reliable Association INference By Optimizing Weights with R) is a package to perform several types of GWAS as follows.
Single-SNP GWAS with RGWAS.normal function
SNP-set (or gene set) GWAS with RGWAS.multisnp function (which tests...
github.com - platypus is an R package for object detection and semantic segmentation. Currently using
platypus you can perform:
multi-class semantic segmentation using U-Net architecture
multi-class object detection...
www.r-bloggers.com - R Shiny is one of the easiest ways for developers to make production-ready dashboards when speed and functionality are crucial. Shiny is approachable with a lot of documentation available, and because of this, a lot of developers/researchers...
rpubs.com - An R package for performing principal component analysis (PCA) of genomics data. The package performs PCA, generates the publication-ready plots, and identifies population-specific outlier individuals. The package can be accessed on...
www.tutorialspoint.com - Online coding group for most of the programming languages.
Code in almost all popular languages using Coding Ground. Edit, compile, execute and share your projects, 100% cloud.
http://www.tutorialspoint.com/codingground.htm
github.com - This is not so much an instructional manual, but rather notes, tables, and examples for Python syntax. It was created by the author as an additional resource during training, meant to be distributed as a physical notebook. Participants (who favor...
liulab-dfci.github.io - This is the course material for STAT115/215 BIO/BST282 at Harvard University.
Xiaole Shirley Liu (lead instructor)Joshua StarmerMartin HembergTing WangFeng Yue
Ming TangYang LiuJack KangScarlett GeJiazhen RongPhillip NicolMaartin De Vries
We...
https://code.golf/ - Code Golf is a game designed to let you show off your code-fu by solving problems in the least number of characters.
Since this is your first time here, I suggest starting with something simple like Fizz Buzz.
www.nature.com - Because of the increasing size and inherent complexity of biological data, there has been an increase in the application of machine learning in biology to create useful and predictive models of the underlying biological processes. All machine...