MOL BIO 254DConcepts in Molecular Biosciences: Statistical Tools and Concepts for Molecular Biologists
Molecular Biology · 3 units · Graduate courses (200-299)
Study covers specific basic statistical concepts required to be successful modern molecular biologist, and applies these tools to analyze real-world datasets, such as RNA sequencing. Topics include distributions, confidence intervals, and p-values; linear and logistic statistical models; high dimensional summaries through unsupervised learning (e.g., PCA and clustering); and permutation-based statistical tests. Analysis carried out using statistical programming language R. Study includes lectures, R how-to sessions, and student presentations.
Letter grading.
When it runs
- Winter 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.