FrenchFISH: Poisson Models for Quantifying DNA Copy Number From Fluorescence In Situ Hybridization of Tissue Sections | Zendy

Geoff Macintyre | Zendy; Anna Piskorz | Zendy; Adam G. Berman | Zendy; Edith Ross | Zendy; David B. Morse | Zendy; Ke Yuan | Zendy; Darren Ennis | Zendy; Jeremy A. Pike | Zendy; Teodora Goranova | Zendy; Iain A. McNeish | Zendy; James D. Brenton | Zendy; Florian Markowetz | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

FrenchFISH: Poisson Models for Quantifying DNA Copy Number From Fluorescence In Situ Hybridization of Tissue Sections

Author(s) -

Geoff Macintyre,

Anna Piskorz,

Adam G. Berman,

Edith Ross,

David B. Morse,

Ke Yuan,

Darren Ennis,

Jeremy A. Pike,

Teodora Goranova,

Iain A. McNeish,

James D. Brenton,

Florian Markowetz

Publication year - 2021

Publication title -

jco clinical cancer informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.188

H-Index - 12

ISSN - 2473-4276

DOI - 10.1200/cci.20.00075

Subject(s) - fluorescence in situ hybridization , poisson distribution , counting process , copy number variation , in situ , computer science , biology , computational biology , biological system , mathematics , physics , genetics , statistics , genome , chromosome , gene , meteorology

Chromosomal aberration and DNA copy number change are robust hallmarks of cancer. The gold standard for detecting copy number changes in tumor cells is fluorescence in situ hybridization (FISH) using locus-specific probes that are imaged as fluorescent spots. However, spot counting often does not perform well on solid tumor tissue sections due to partially represented or overlapping nuclei.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research