Title |
GoIFISH: a system for the quantification of single cell heterogeneity from IFISH images
|
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Published in |
Genome Biology, August 2014
|
DOI | 10.1186/s13059-014-0442-y |
Pubmed ID | |
Authors |
Anne Trinh, Inga H Rye, Vanessa Almendro, Åslaug Helland, Hege G Russnes, Florian Markowetz |
Abstract |
Molecular analysis has revealed extensive intra-tumor heterogeneity in human cancer samples, but cannot identify cell-to-cell variations within the tissue microenvironment. In contrast, in situ analysis can identify genetic aberrations in phenotypically defined cell subpopulations while preserving tissue-context specificity. GoIFISHGoIFISH is a widely applicable, user-friendly system tailored for the objective and semi-automated visualization, detection and quantification of genomic alterations and protein expression obtained from fluorescence in situ analysis. In a sample set of HER2-positive breast cancers GoIFISHGoIFISH is highly robust in visual analysis and its accuracy compares favorably to other leading image analysis methods. GoIFISHGoIFISH is freely available at http://www.sourceforge.net/projects/goifish/. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Norway | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
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United Kingdom | 1 | 3% |
Denmark | 1 | 3% |
Unknown | 37 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 14 | 36% |
Student > Ph. D. Student | 11 | 28% |
Student > Bachelor | 5 | 13% |
Professor > Associate Professor | 3 | 8% |
Student > Master | 2 | 5% |
Other | 2 | 5% |
Unknown | 2 | 5% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 9 | 23% |
Agricultural and Biological Sciences | 9 | 23% |
Computer Science | 9 | 23% |
Engineering | 4 | 10% |
Mathematics | 2 | 5% |
Other | 3 | 8% |
Unknown | 3 | 8% |