Controlling False Discoveries in Genomics Data Analysis - What is the Null Hypothesis?

Explore the critical topic of controlling false discoveries in genomics data analysis through this informative conference talk from the Computational Genomics Summer Institute (CGSI) 2023. Delve into the fundamental question of "What is the Null Hypothesis?" as presented by Jingyi Jessica Li. Gain insights into advanced statistical methods and their applications in genomics research. Learn about cutting-edge approaches such as scDesign3 for generating realistic in silico data for multimodal single-cell and spatial omics, and Clipper for P-value-free FDR control on high-throughput data. Discover the PseudotimeDE method for inferring differential gene expression along cell pseudotime with well-calibrated P-values from single-cell RNA sequencing data. Understand the distinctions and guidelines between statistical hypothesis testing and machine learning binary classification in the context of genomics. Access related research papers to deepen your understanding of these innovative techniques and their implications for genomics data analysis.