Self assessment for week 3 (07/19 - 07/25)
Technical skills: After reading and learning how to do a QC, normalization (mas5, rma), batch correction, PCA, heatmap for microarray datasets, I was able to write my own code and understand why is so important when we have datasets to start with QC before moving forward.
One struggle was to learn R from zero and how to read datasets in R.
Tools used: STEM- Away forum, Slack, RStudio, R, GEO DB, GitHub.
I’ve actively reached out to team members and mentors to make meaningful connections and hopefully to be able to bring my experience in clincal field at the table.
Learnt to read datasets in R
Learnt to create PCA, Heatmaps, data visualization graphics and to interpret it.
List of training and meetings that I attended:
Biology webinar (07/21), Group meeting(07/20, 07/23), Happy Hour (07/24)
Did all the deliverables from week 3.
Had problems in the beginning with memory allocation but I fixed it.
PCA plot was hard in the beginning but after I talk with one of my mentors I’ve got it on my own.
Goals for the upcoming week:
Work as an participant for the week 4 deliverables.
Study more about data handling and microarrays.
Attend office hours and group meetings.
Prepare some cool games for happy hour.
Connect with other participants and leaders from STEM-Away Internship.