Category Archives: Machine Learning for *omics

ChatGPT resources

This post is to list some useful resources about ChatGPT that I just discovered through LinkedIn posts and YouTube. OpenAI Cookbook: https://github.com/openai/openai-cookbook Prompt and conversation sharing This is a Google Chrome extension: https://sharegpt.com/ Add ChatGPT to RStudio Title: “Adding Chat GPT to RStudio with the GPT Studio add-in package” Link: https://youtu.be/QQfDTLExoNU RTUTOR.AI uses AI to… Read More »

DataChat: Guided English Language© Ai and ML data analysis

A new spin-off company from the University of Wisconsin-Madison proposes a new interface for data analysis based on Guided English Language© (GEL) to command Artificial Intelligence and Machine Learning methods via “utterances” i.e. English-like phrases easier to write than code whether R, python, SQL, or other traditional tools. The web site is at datachat.ai The… Read More »

semester-biology informatics courses

Just found this interesting set of  “semester-biology ” (bio)informatics courses, from the original data carpentry site: Web rendered: https://datacarpentry.org/semester-biology/ GitHub: https://github.com/datacarpentry/semester-biology Derived works: Data Science for Biologists at Virginia Commonwealth University Data Science for Agriculture at Oklahoma State University Data Visualization for Plant Pathologists at the University of Florida Data Science for SAFS at the University of… Read More »

PCA as Metro-Maps & Hierarchical Clustering on Principal Components

The iris dataset is perhaps one of the most famous datasets used to learn and teach statistics and now machine learning. Being curious about this dataset lead me last time to the TableConvert.com  web site that I discussed in my previous post here (and there.) “Metro Maps” Today while revisiting the Wikipedia link for this dataset (Iris_flower_data_set) my… Read More »

omictools.com: Search engine for biological data analysis

Re: omictools.com Finding software that is relevant to any biological analysis can be inspired by reading a paper or perhaps searching within Google. The web site https://omictools.com/ contains 16,971 software (omic) tools that are organized in categories shown on the home page. Checking a bit further one can find interesting entries such as: High-throughput sequencing data analysis…… Read More »