Towards sound epistemological foundations of statistical methods for high-dimensional biology

Nat Genet. 2004 Sep;36(9):943-7. doi: 10.1038/ng1422.

Abstract

A sound epistemological foundation for biological inquiry comes, in part, from application of valid statistical procedures. This tenet is widely appreciated by scientists studying the new realm of high-dimensional biology, or 'omic' research, which involves multiplicity at unprecedented scales. Many papers aimed at the high-dimensional biology community describe the development or application of statistical techniques. The validity of many of these is questionable, and a shared understanding about the epistemological foundations of the statistical methods themselves seems to be lacking. Here we offer a framework in which the epistemological foundation of proposed statistical methods can be evaluated.

Publication types

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

MeSH terms

  • Genetic Techniques / statistics & numerical data
  • Guidelines as Topic
  • Knowledge*
  • Logic
  • Molecular Biology / statistics & numerical data*
  • Reproducibility of Results
  • Statistics as Topic / methods*