####By Alex Gajewski ######A repository for the purpose of tracking my progress in learning R as a tool for data analysis.
#####Week 1 - Learning Basic Data Scientist Tools
- Videos 1.1-2.7
- Installed R, RStudio, Git
- Setup GitHub Repository
- Asked for Username for Sharing
- Videos 2.8-2.9
- Shared GitHub Repository
#####Week 2 - R Programming for the Data Scientist
- Getting Started Powerpoint
- Fibonacci Program
- Level 2
- Track Learning Progress on GitHub
- Fibonacci Program V2 :)
- Install Affy Packages|Setup Affy Environment
- Analysis of Affymetrix Microarray Data with R and Bioconductor
#####Weeks 3 and 4 - Real Project|Detection of differentially expressed genes using Affymetrix gene expression technology, from raw data to statistically significant differentially expressed genes
- Raw Data QC and Filtering
- Data Summarization and Normalization
- Sample/Gene/Probe-Based QC
- Differentially Expressed Genes
- Created Summary
######Finished in 1.4 Weeks, Difficult Work Ahead
#####Weeks 5 to 8 - Real Project
- Use machine learning methods in R to detect and validate (training and testing) a minimal gene signature able to classify the gene expression of samples in two phenotypic groups