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

10.1186/s13062-018-0204-y

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Main Authors:	Wong, W.-C, Ng, H.-K, Tantoso, E, Soong, R, Eisenhaber, F
Other Authors:	PATHOLOGY
Format:	Article
Published:	2020
Subjects:	microRNA animal genetics human theoretical model tumor cell line Animals Cell Line, Tumor Humans MicroRNAs Models, Theoretical
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/173740
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1737402024-04-03T10:36:56Z Finite-size effects in transcript sequencing count distribution: Its power-law correction necessarily precedes downstream normalization and comparative analysis Wong, W.-C Ng, H.-K Tantoso, E Soong, R Eisenhaber, F PATHOLOGY BIOLOGICAL SCIENCES CANCER SCIENCE INSTITUTE OF SINGAPORE microRNA animal genetics human theoretical model tumor cell line Animals Cell Line, Tumor Humans MicroRNAs Models, Theoretical 10.1186/s13062-018-0204-y Biology Direct 13 1 2 2020-09-01T00:45:30Z 2020-09-01T00:45:30Z 2018 Article Wong, W.-C, Ng, H.-K, Tantoso, E, Soong, R, Eisenhaber, F (2018). Finite-size effects in transcript sequencing count distribution: Its power-law correction necessarily precedes downstream normalization and comparative analysis. Biology Direct 13 (1) : 2. ScholarBank@NUS Repository. https://doi.org/10.1186/s13062-018-0204-y 17456150 https://scholarbank.nus.edu.sg/handle/10635/173740 Unpaywall 20200831
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	microRNA animal genetics human theoretical model tumor cell line Animals Cell Line, Tumor Humans MicroRNAs Models, Theoretical
spellingShingle	microRNA animal genetics human theoretical model tumor cell line Animals Cell Line, Tumor Humans MicroRNAs Models, Theoretical Wong, W.-C Ng, H.-K Tantoso, E Soong, R Eisenhaber, F Finite-size effects in transcript sequencing count distribution: Its power-law correction necessarily precedes downstream normalization and comparative analysis
description	10.1186/s13062-018-0204-y
author2	PATHOLOGY
author_facet	PATHOLOGY Wong, W.-C Ng, H.-K Tantoso, E Soong, R Eisenhaber, F
format	Article
author	Wong, W.-C Ng, H.-K Tantoso, E Soong, R Eisenhaber, F
author_sort	Wong, W.-C
title	Finite-size effects in transcript sequencing count distribution: Its power-law correction necessarily precedes downstream normalization and comparative analysis
title_short	Finite-size effects in transcript sequencing count distribution: Its power-law correction necessarily precedes downstream normalization and comparative analysis
title_full	Finite-size effects in transcript sequencing count distribution: Its power-law correction necessarily precedes downstream normalization and comparative analysis
title_fullStr	Finite-size effects in transcript sequencing count distribution: Its power-law correction necessarily precedes downstream normalization and comparative analysis
title_full_unstemmed	Finite-size effects in transcript sequencing count distribution: Its power-law correction necessarily precedes downstream normalization and comparative analysis
title_sort	finite-size effects in transcript sequencing count distribution: its power-law correction necessarily precedes downstream normalization and comparative analysis
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/173740
_version_	1795374303124914176

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

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