Estimation of fluorescence-tagged RNA numbers from spot intensities | Zendy

Antti Häkkinen | Zendy; Meenakshisundaram Kandhavelu | Zendy; Stefania Garasto | Zendy; André S. Ribeiro | Zendy

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Estimation of fluorescence-tagged RNA numbers from spot intensities

Author(s) -

Antti Häkkinen,

Meenakshisundaram Kandhavelu,

Stefania Garasto,

André S. Ribeiro

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt766

Subject(s) - rna , maximum a posteriori estimation , computer science , fluorescence , classifier (uml) , algorithm , biological system , computational biology , gene , maximum likelihood , biology , physics , artificial intelligence , mathematics , genetics , statistics , optics

Present research on gene expression using live cell imaging and fluorescent proteins or tagged RNA requires accurate automated methods of quantification of these molecules from the images. Here, we propose a novel automated method for classifying pixel intensities of fluorescent spots to RNA numbers.

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