Power law in high-throughput biology
(very parcellar; work in progress).
Reverse-cumulative distribution of SAGE tags was shown by Kuznetstov, Knott & Bonner (2002) to follow a power law. Balwierz et al., 2009 showed the same for CAGE tags and and implemented a normalisation method fitting the data to the power law.
Power laws are also seen in other areas, for instance in parameters describing network topologies (Barabási & Albert, 1999, Serafino and coll., 2021).
Serafino M, Cimini G, Maritan A, Rinaldo A, Suweis S, Banavar JR, Caldarelli G.
Proc Natl Acad Sci U S A. 2021 Jan 12;118(2):e2013825118. doi:10.1073/pnas.2013825118
True scale-free networks hidden by finite size effects.
Balwierz PJ, Carninci P, Daub CO, Kawai J, Hayashizaki Y, Van Belle W, Beisel C, van Nimwegen E.
Genome Biol. 2009;10(7):R79. doi:10.1186/gb-2009-10-7-r79
Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data.
Kuznetsov VA, Knott GD, Bonner RF.
Genetics. 2002 Jul;161(3):1321-32.
General statistics of stochastic process of gene expression in eukaryotic cells.
Barabási AL, Albert R
Science. 1999 Oct 15;286(5439):509-12
Emergence of scaling in random networks
Power law connectivity of actor collaborations in www and power grids