STAT 437 - 001

Quantitative Bioinformatics
Session
Regular Academic Session
Class Number
2514
Career
Graduate
Units
3 units
Grading
Graded
Description
This course explores recently developed mathematical, probabilistic and statistical methods currently used in the fields of bioinformatics and DNA microarray and protein array data analysis. These include stochastic processes, (hidden and traditional) Markov chains, tree- and clustering techniques (including principal components analysis and biplots), discriminant analysis, experimental design strategies and ANOVA methods. Our focus in this course is on the application of these techniques and on meaningful interpretation of results.
Add Consent
Department Consent Required
Enrollment Requirements
Restricted to Graduate School students.
Class Notes
STAT 437 meets with STAT 337
Class Actions
Look up course materials
Class Details
Instructor(s)
Swarnali Banerjee
Meets
TuTh 11:30AM - 12:45PM
Dates
01/12/2026 - 05/02/2026
Room
TBA
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
0
Seats Open
40
Combined Section Capacity
40
Wait List Total
0
Wait List Capacity
0
Combined Section
Quantitative Bioinformatics
STAT 337 - 001 (1382)
Status: Open - Enrl
Seats Taken: 0
Wait List Total: 0
Quantitative Bioinformatics
BIOL 337 - 001 (1443)
Status: Open - Non
Seats Taken: 0
Wait List Total: 0
Quant. Bioinformatics
STAT 437 - 001 (2514)
Status: Open - Enrl
Seats Taken: 0
Wait List Total: 0