View source for Biology:Extrapolation based molecular systems biology

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'''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 (... [[Biography:Denis Noble|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): 
[[Biology:Genomics|Genomics]], [[Biology:Epigenomics|Epigenomics]] / [[Biology:Epigenetics|Epigenetics]], Transcriptomics, [[Biology:Interferomics|Interferomics]], [[Biology:Translatomics|Translatomics]] / [[Biology:Proteomics|Proteomics]], [[Biology:Metabolomics|Metabolomics]], [[Biology:Glycomics|Glycomics]],  [[Biology:Lipidomics|Lipidomics]], Interactomics, and [[Biology:Fluxomics|Fluxomics]].
[[File:Example of Extrapolation121009 1.jpg|thumb]]

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.

[[Category:Systems biology]]

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