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FDM: a graph-based statistical method to detect differential transcription using RNA-seq data

Author
SINGH, Darshan1 ; ORELLANA, Christian F1 ; YIN HU2 ; JONES, Corbin D3 ; YUFENG LIU4 ; CHIANG, Derek Y5 ; JINZE LIU2 ; PRINS, Jan F1
[1] Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
[2] Department of Computer Science, University of Kentucky, Lexington, KY, United States
[3] Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
[4] Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
[5] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Source

Bioinformatics (Oxford. Print). 2011, Vol 27, Num 19, pp 2633-2640, 8 p ; ref : 1/4 p

ISSN
1367-4803
Scientific domain
Bioinformatics
Publisher
Oxford University Press, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Donnée Détection Graphe Méthode différentielle Méthode graphe Méthode statistique RNA Transcription Séquençage à haut débit
Keyword (en)
Data Detection Graph Differential method Graph method Statistical method RNA Transcription High throughput sequencing
Keyword (es)
Dato Detección Grafo Método diferencial Método grafo Método estadístico RNA Transcripción
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)

Discipline
Biological sciences. Generalities. Modelling. Methods Generalities in biological sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
24553306

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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