Name: Diego Mazzotti
Type: User
Company: University of Kansas Medical Center
Bio: I am an Assistant Professor at the University of Kansas Medical Center interested in Biomedical Informatics applications to Sleep Medicine.
Twitter: mazzottidr
Location: Kansas City, KS
Diego Mazzotti's Projects
Code repository for AIM-AHEAD Fellowship Study
PyBossa FlickrPerson Example App
Affymetrix microarrays of different technology versions are very often used in transcriptomics analysis. Quality control and normalization approaches do exist, especially as packages in Bioconductor/R. However: - Procedures are often different between teams. - They are not always easy to access as they run through command lines. - It is often not clear what the meaning of the specific settings and results are - They are not always usable for the newer technology types of arrays. To tackle this, we proposed an automated well-documented and user-friendly pipeline for Affymetrix microarray quality control and normalization.
Shotgun sequencing of text, in CGI script form
Best-practice pipelines for fully automated high throughput sequencing analysis
Miniature LIMS and workflow manager for bioinformatics
Extracting meaningful health information from large accelerometer datasets
lecture material for biomedical informatics driven research class
Template repo for Data Science for Biomedical Informatics (BMIN503/EPID600) final project
Linux client for Box.com
Crash Course in Causality Materials
Source Code for Android Course Example Applications
Script and codebook for Get and Cleaning Data Coursera Course Project
Materiais para o curso de machine learning ministrado na UNIFESP (Dezembro 2019)
Material para o Curso de Bioinformática
Data Science class from coursera.org
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
Data Science Course in a Box
The Leek group guide to data sharing
Plotting Assignment 1 for Exploratory Data Analysis
R package to scrape fitbit data
Command line utility for generating books and exercises using GitHub/Git and Markdown
Future
Highly comparative time-series analysis code repository
human exome pipeline
This repository contains the code for the benchmark analysis of different measure of nocturnal hypoxemia and their effect on cardiovascular risk in the Sleep Heart Health Study. This is a collaboration between Diego Mazzotti, Timo Leppänen and Ali Azarbarzin