-
Institution:
-
Brown University
-
Subject:
-
-
Description:
-
In molecular biology, inferences in high dimensions with missing data are common. A conceptual framework for Bayesian and frequentist inferrnces in this setting including: sequence alignment, RNA secondary structure prediction, database search, and functional genomics. Statistical topics: parameter estimation, hypothesis testing, and characterization of posterior spaces. Core course in proposed PhD program in computational molecular biology.
-
Credits:
-
1.00
-
Credit Hours:
-
-
Prerequisites:
-
-
Corequisites:
-
-
Exclusions:
-
-
Level:
-
-
Instructional Type:
-
Lecture
-
Notes:
-
-
Additional Information:
-
-
Historical Version(s):
-
-
Institution Website:
-
-
Phone Number:
-
(401) 863-1000
-
Regional Accreditation:
-
New England Association of Schools and Colleges
-
Calendar System:
-
Semester
Detail Course Description Information on CollegeTransfer.Net
Copyright 2006 - 2025 AcademyOne, Inc.