Zach Young's Projects
Repository of some of my completed projects
Exercises to accompany the free Springboard introductory data science "taster" course.
Normalization, outlier detection, statistical analysis, and visualization of microarray data from 79 tumor samples to identify differentially expressed genes between recurrent and non-recurrent prostate cancer.
Code repository for work done in the JHU Genomic Data Science Program through Coursera
My attempt to classify raw audio data of heart recordings as either normal, abnormal or an artifact with the goal of being able to quickly diagnose heart conditions.
An analysis of the metagenomic profiles of various colorectal cancer patients and healthy controls to try and identify distinct signatures between various stages of the disease.
JHU course
Project to identify respiratory recordings. Proof of concept for a COVID-19 diagnosis tool.
Performed sentiment analysis using tf-idf to predict negative vs. positive reviews. Developed and tuned a variety of classification models resulting in >85% accuracy
Workflows and projects for the analysis of single-cell RNA sequencing data
Clustering of breast cancer patients from proteome data with the goal of separating patients into sub-groups for more personalized treatments
Config files for my GitHub profile.
My Portfolio Website