Extrapolation based molecular systems biology

From EverybodyWiki Bios & Wiki



Extrapolation based Molecular Systems Biology is the utilization of molecular data from one or many sub-cellular levels to indirectly infer the remaining components of a sub-cellular system via statistical algorithms and priori biological knowledge. The motivation to rebuild remaining components of a system is driven primarily by adopting a systems biologist's view of a biological phenomenon where a pan-omic view is a consistent requirement (... Denis Noble "The Music of Life").

The term "extrapolation" is chosen to provide caution due to a high potential of false positives with high levels of extrapolation. On average, fewer levels (and smaller leaps) of inference and greater levels of observational data is recommended for a statistically significant extrapolated system.

Sub-cellular levels may include one or more of the following (but not limited to) (see Systems Biology): Genomics, Epigenomics / Epigenetics, Transcriptomics, Interferomics, Translatomics / Proteomics, Metabolomics, Glycomics, Lipidomics, Interactomics, and Fluxomics.

Example of Extrapolation121009 1.jpg

Example (see image on right): Molecular level of quantitative data is illustrated in green, inferred levels are illustrated in yellow, and non-active/missing molecular levels are illustrated in grey. Data source(s) & Algorithm(s) are listed on the right. Acknowledgements:Irizarry et al. 2004, Su et al. 2004, Subramanium et al. 2005, Warren et al. 2008, Theocharidis et al. 2009.


This article "Extrapolation based molecular systems biology" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Extrapolation based molecular systems biology. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.