BIOMATH M271
Statistical Methods in Computational Biology
Biomathematics · 4 units · Graduate courses (200-299)
(Same as Bioinformatics M223 and Statistics M254.) Introduction to statistical methods developed and widely applied in several branches of computational biology, such as gene expression, sequence alignment, motif discovery, comparative genomics, and biological networks, with emphasis on understanding of basic statistical concepts and use of statistical inference to solve biological problems.
Letter grading.
Requisites
Official UCLA wording
Preparation: elementary probability concepts. Requisite: Bioinformatics M221 or Statistics 100A or 200A.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "elementary probability concepts" (no course number found)
- · no course reference could be read from this requisite
BruinTree reads · Prerequisite
needs reviewconfidence 0.70 · from text- Bioinformatics M221
- STATS 100A
- STATS 200A
- · could not read "Bioinformatics M221" (no course number found)
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOMATH M271
- STATS 100AIntroduction to Probability
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.