Finite-size effects in transcript sequencing count distribution: its power-law correction necessarily precedes downstream normalization and comparative analysis

BACKGROUND: Though earlier works on modelling transcript abundance from vertebrates to lower eukaroytes have specifically singled out the Zip’s law, the observed distributions often deviate from a single power-law slope. In hindsight, while power-laws of critical phenomena are derived asymptotically...

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Detalles Bibliográficos
Autores principales: Wong, Wing-Cheong, Ng, Hong-kiat, Tantoso, Erwin, Soong, Richie, Eisenhaber, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809866/
https://www.ncbi.nlm.nih.gov/pubmed/29433547
http://dx.doi.org/10.1186/s13062-018-0204-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809866/
https://www.ncbi.nlm.nih.gov/pubmed/29433547
http://dx.doi.org/10.1186/s13062-018-0204-y

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