biodata-club Goto Github PK
Name: BioData Club
Type: Organization
Location: Portland, OR
Name: BioData Club
Type: Organization
Location: Portland, OR
BioData Club website and project management
Slides for Intro to Data Viz workshop
Data Storytelling Workshop for BioData Club
Repository for discussing How to be a modern scientist
A BioData Club Workshop on Markdown and Read the Docs.
Danielle and Lilly teach a v friendly intro to R and R Studio.
The ReadTheDocs version of the BioData Club's GitHub Pages Tutorial
Tutorial on Setting Up a Github Page
Workshop introducing Shiny programming concepts
marp slides and material for git talk
Live GitHub Page at
An interactive introduction to LaTeX using Overleaf.
In biomedical research we often wish to classify data into two or more groups (eg. healthy and diseased) based on a variety of measurement variables, but how do you determine if the model you’ve selected is good? In this BioData Club workshop instructor Crista Moreno will discuss the mathematics of logistic regression for binary classification modeling, and how to prevent the harms of overfitting with cross validation in R. Attendees will gain knowledge through hands-on exercises about the following concepts and data science skills. Logistic regression (logit function, probability, binary classification) Overfitting (adding parameters and high dimensional spaces) Cross validation Cross validation Error R (R markdown, R packages magrittr, dplyr, ggplot2, tidyr, corrplot, caret, rgl) Anyone with interest in building a classification model for biomedical data is encouraged to attend! Prior experience with R, Rstudio, and a basic knowledge of classification modeling (also mathematical functions) will be helpful, but is not a requirement.
A sample repository for use in the BioData Club DIY Documentation Workshop
Shiny App for Exploring the NHANES dataset
A tutorial on using Open Biological and Biomedical Ontologies (OBO) to create better biodata
Programming fundamentals lesson based on the Software Carpentry Programming with Python lesson.
Repository for Tableau Workshop at OHSU
A Jupyter Notebook-based workshop on web scraping in python
A Practical Guide to Reproducible Papers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.