Marc_Sorrentino - Bioinformatics Pathway

Things Learned:

  • Basic programming in R: basic structures, data visualization
  • Reviewed the basics of Python; syntax refresher
  • Gained an introductory understanding of genetics
  • Gained a foundational understanding of statistical analysis via data visualization (PCA, heatmaps, etc.)

Achievement Highlights:

  • Learned basics of R
  • Grasped basic concepts of understanding gene expression and how it relates to treating certain diseases (from a data science perspective)

Meetings/Trainings Attended:

  • 6/2: R training,
  • 6.3: Technical training webinar,
  • 6/8: Gene Team meeting,
  • 6/9: R training, UG meeting
  • 6/10: Logistical webinar, Technical training
  • 6/11: Gene Team meeting,
  • 6/12: R Training
  • 6/15: Gene Team meeting
  • 6/16: Asana training

Goals for the Upcoming Week

  • Continue completing assigned tasks
  • Become more using data analysis tools to draw insights from datasets (R, Python, etc.)

Tasks Completed

  • R Task 1
  • Python Task 1

My Role:

  • Observer

Things Learned:

*Basics of statistical analysis tools
*The process of normalizing data to remove outliers
*Hands-on experience working with microarray data
*Becoming more familiar with R

Achievement Highlights:

*Successfully plotted a PCA and drew insights
*Worked/communicated with other team members

Meetings/Trainings Attended:

6/16 Python and Pandas Webinar
6/17 Technical Training webinar
6/18 Gene Team Meeting
6/22 Gene Team Meeting
6/23 Python Training session
6/24 Office Hours with BI Leads
6/25 Gene Team Meeting

Goals for the Upcoming Week

  • Complete week 4 deliverables
  • Understand overarching context of week 4 deliverable assignments

Tasks Completed:
*Week 3 deliverables

My Role:

  • Observer