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OnlineFDR Control with Applications to RNA-Seq Data

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

RNA-Seq Courses Bioinformatics Courses R Programming Courses Genomics Courses Statistical Analysis Courses

Course Description

Overview

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Explore online False Discovery Rate (FDR) control techniques and their applications to RNA-Seq data analysis in this informative conference talk from the Computational Genomics Summer Institute (CGSI) 2022. Delve into the power of batching in multiple hypothesis testing, adaptive discarding algorithms for online FDR control, and the SAFFRON algorithm for adaptive online control of the false discovery rate. Gain insights from related research papers and learn about the R package 'onlineFDR' for practical implementation. Discover how these advanced statistical methods can enhance the accuracy and reliability of RNA-Seq data interpretation, providing valuable tools for computational genomics researchers and bioinformaticians.

Syllabus

Johanna Hardin | onlineFDR control with applications to RNA-Seq data | CGSI 2022


Taught by

Computational Genomics Summer Institute CGSI

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