Resource Information

TitleData Analysis for Life Scientists 3: Statistical Inference and Modeling for High-throughput Experiments
Description

In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation.

Resource Linkedx.org
SubjectBioinformatics
Target Audience
  • Genomics Workforce
  • Clinical Workforce
Resource TypeCourse
CostFree
LicenceNone