OnlineFDR Control with Applications to RNA-Seq Data
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.