The False discovery rate (FDR) is one way of conceptualizing the rate of type I errors in null hypothesis testing when conducting multiple comparisons. FDR-controlling procedures are designed to control the expected proportion of rejected null hypotheses that were incorrect rejections ("false discoveries"). FDR-controlling procedures provide less stringent control of Type I errors compared to FWER controlling procedures (such as the Bonferroni correction), which control the probability of at least one Type I error. Thus, FDR-controlling procedures have greater power, at the cost of increased rates of Type I errors. (https://en.wikipedia.org/wiki/False_discovery_rate)

Tips #

Excel에서 FDR 계산하기

fdr = min(row * (num_rows/rank_this_probeset), fdr_for_gene_one_row_below)
ex: = min(i54675 * 54674/rank(i54675, i$2:i$54676, 1), i54676)

관련정보 #

• False Discovery Rate(FDR)이란? 2018-01-25

Incoming Links #

Related Articles (Article 0) #

• Q-value

Suggested Pages #

• 0.422 DiffBind
• 0.078 Practical guidelines for the comprehensive analysis of ChIP-seq data
• 0.025 2011
• 0.025 Hyungyong Kim
• 0.024 CSV
• 0.024 1959
• 0.024 Type 1 error
• 0.024 Bonferroni inequalities
• 0.024 Statistics
• 0.024 VisualBasic
• More suggestions...