solislemuslab Goto Github PK
Name: SolisLemus lab projects
Type: Organization
Twitter: solislemuslab
Name: SolisLemus lab projects
Type: Organization
Twitter: solislemuslab
BioKlustering: a web app for semi-supervised learning of maximally unbalanced genomic data
Collaboration with Juan Carlos Villareal Aguilar, Gordon Burleigh
Conditional Auto-Regressive LASSO
Studying the colonization factors of bacteria in squid (in collaboration with Mark Mandel)
Materials for the website for the Data as Art Exhibition series.
Machine-learning methods (in particular neural networks) on DNA sequence input data for microbial datasets (in collaboration with Tim Read and Sam Brown)
Here, we investigate the robustness, generalization potential and prediction accuracy of widely used convolutional neural network and natural language processing models with a variety of heterogeneous genomic datasets.
Dummy repo to practice git/github in the lab
El Zoominario: seminar series to increase visibility of Latinx in STEM
Source(?) of graphical abstracts of publications
Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.
Useful documents on guidelines, advice, resources for the lab
Learning materials for Data Science within biological applications such as WI Fast Plants: https://fastplants.org/
MiNAA aligns a pair of networks based their topologies and biologies.
The MiNAA Web App is a wrapper around MiNAA built with R Shiny.
Machine-learning tools for mycovirus data
Method to estimate phylogenetic networks from algebraic invariants
Potato dataset: statistical and machine learning analyses in collaboration with Rick Lankau
Data analysis and visualization for the WI potato seed certification database
R Shinyapp to calculate sample size for a given power
Myriad of scripts to simulate data in phylogenetics
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.