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

Wong, Wing-Cheong; Ng, Hong-Kiat; Tantoso, Erwin; Soong, Richie; Eisenhaber, Frank

Wong, Wing-Cheong; Ng, Hong-Kiat; Tantoso, Erwin; Soong, Richie; Eisenhaber, Frank.

Afiliación

Wong WC; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, Singapore, 138671, Singapore. wongwc@bii.a-star.edu.sg.
Ng HK; Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Tantoso E; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, Singapore, 138671, Singapore.
Soong R; Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Eisenhaber F; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, Singapore, 138671, Singapore.

Biol Direct ; 13(1): 2, 2018 02 12.

Article en En | MEDLINE | ID: mdl-29433547

Asunto(s)

Modelos Teóricos; Animales; Línea Celular Tumoral; Humanos; MicroARNs/genética

Palabras clave

Aliasing noise; Finite-size effects; Heteroskedasticity; Normalization; Nyquist sampling criterion; Pareto distribution; Sequencing; Transcript abundance; Zip's law

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Teóricos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Biol Direct Año: 2018 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google