Empowering statistical methods for cellular and molecular biologists

Mol Biol Cell. 2019 Jun 1;30(12):1359-1368. doi: 10.1091/mbc.E15-02-0076.


We provide guidelines for using statistical methods to analyze the types of experiments reported in cellular and molecular biology journals such as Molecular Biology of the Cell. Our aim is to help experimentalists use these methods skillfully, avoid mistakes, and extract the maximum amount of information from their laboratory work. We focus on comparing the average values of control and experimental samples. A Supplemental Tutorial provides examples of how to analyze experimental data using R software.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Caenorhabditis elegans / embryology
  • Cell Biology*
  • Decision Trees
  • Molecular Biology*
  • Statistics as Topic*