A Complete Review of Controlling the FDR in a Multiple Comparison   Problem Framework -- The Benjamini-Hochberg Algorithm
  This paper is a review of the popular Benjamini Hochberg Method and other related useful methods of Multiple Hypothesis testing. This is written with the purpose of serving a short but complete easy to understand review of the main article with proper background. The paper titled 'Controlling the False Discovery Rate-a practical and powerful Approach to multiple Testing' by benjamini et. al.[1] proposes a new framework of controlling the False Discovery Rate in a Multiple Hypothesis testing problem. It has been claimed that the procedure proposed in the paper results in a substantial gain in power more applicable in case of problems which call for False discovery rate (FDR) control rather than Familywise Error Rate (FWER). The proposed method uses a simple Bonferroni type procedure for FDR control. 
Anish Acharya
stat.ME