Pinned Repositories
ALDEx2
ALDEx tool to examine compositional high-throughput sequence data with Welch's t-test
build-a-business
A template to get your SaaS business up and running quickly
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
d3_react_template
generative_design
Visualizations using javascript (d3.js and three.js)
mlafore3.github.io
Website to host my portfolio:
the_problem_with_p_values
the code I used for my blog post
visualizing_distributions
R code that I used to make different visualizations for a numerical distribution
mlaforet's Repositories
mlaforet/visualizing_distributions
R code that I used to make different visualizations for a numerical distribution
mlaforet/the_problem_with_p_values
the code I used for my blog post
mlaforet/generative_design
Visualizations using javascript (d3.js and three.js)
mlaforet/ALDEx2
ALDEx tool to examine compositional high-throughput sequence data with Welch's t-test
mlaforet/build-a-business
A template to get your SaaS business up and running quickly
mlaforet/ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
mlaforet/d3_react_template
mlaforet/mlafore3.github.io
Website to host my portfolio:
mlaforet/Dockerfile
Collection of Bioinformatics related Dockerfiles
mlaforet/Genetic-Algorithms
Showcasing the concept of Genetic Algorithms with the example of the Travelling Salesman Problem (in CoffeeScript)
mlaforet/personal_website_ruby
A website built with Ruby on Rails, HTML5, CSS with Saas to display samples of my past analyses.
mlaforet/predictionet
This package contains a set of functions related to network inference combining genomic data and prior information extracted from biomedical literature and structured biological databases.The main function is able to generate networks using bayesian or regression-based inference methods; while the former is limited to < 100 of variables, the latter may infer network with hundreds of variables. Several statistics at the edge and node levels have been implemented (edge stability, predictive ability of each node, ...) in order to help the user to focus on high quality subnetworks. Ultimately, this package is used in the 'Predictive Networks' web application developed by the Dana-Farber Cancer Institute in collaboration with Entagen
mlaforet/QuoraTrendAnalyzer
A Quora Technical Challenge
mlaforet/terraform-provider-kafka-connect
Terraform provider for managing Apache Kafka Connect
mlaforet/time-machine
Blog website