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Yinyin Yuan Lab: Image-Omics | Institute of Cancer Research | London

Integrating quantitative phenotypes with cancer genomics

http://www.yuanlab.org/

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PAGE TITLE
Yinyin Yuan Lab: Image-Omics | Institute of Cancer Research | London | yuanlab.org Reviews
<META>
DESCRIPTION
Integrating quantitative phenotypes with cancer genomics
<META>
KEYWORDS
1 data integration
2 omics
3 pathological image analysis
4 imageomics
5 quantitative phenotype
6 integrative genomics
7 intra-tumor heterogeneity
8 computational pathology
9 CRImage
10 H&E image analysis
CONTENT
Page content here
KEYWORDS ON
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yinyin yuan lab,image omics,team,research,publications,software,research focus,projects,morphological feature changes,affiliations,london uk,selected publications,science translational medicine,supplement,r package,sweave,installation how to,metabric,psdf
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Yinyin Yuan Lab: Image-Omics | Institute of Cancer Research | London | yuanlab.org Reviews

https://yuanlab.org

Integrating quantitative phenotypes with cancer genomics

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Yinyin Yuan Lab: Image-Omics | Institute of Cancer Research | London

http://www.yuanlab.org/team.html

Computer Science, University of Warwick. Computer Science, University of Warwick. Computer Science, University of Science and Technology of China. Program "Molecular Mechanisms of Cell Biology" Medical University of Vienna, Austria. Department of Computer Science, Technical University of Vienna, Austria. Department of Computer Science, Technical University of Vienna, Austria. Physics, Imperial College London, UK. Lead developer of Polyscope. University of Applied Science, FH Campus. Vienna, Austria.

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The Yuan Lab: Image-Omics | the Institute of Cancer Research | London

http://www.yuanlab.org/publications.html

Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score. We systematically investigate biopsy variability for the lymphocytic infiltrate in 998 breast tumours using a novel virtual biopsy method. Interestingly, biopsy variability of lymphocytic infiltrate differs considerably among breast cancer subtypes, with the HER2 subtype having the highest variability. Lan C, Rodrigues DN, Koelble K, Yuan Y. 2016) [ Sweave; Digital slides. Cold Spring Harb Perspect Med.

3

Yinyin Yuan Lab: Image-Omics | Institute of Cancer Research | London

http://www.yuanlab.org/index.html

Systematic integration of morphological and molecular data. The main focus of the Yuan lab is to develop new ways of studying cancer by fusing histological image analysis, ecological statistics and bioinformatics. Our aim is to understand how the microenvironment of cancer cells helps or prevents cancer growth and spread. Deciphering the tumour microenvironment. Computational pathology to explore the spatial dimension of tumor ecology. Cancer and normal cells exhibit both co-operative and competitive rel...

4

Yinyin Yuan Lab: Image-Omics | Institute of Cancer Research |London

http://www.yuanlab.org/software.html

Microenvironmental heterogeneity parallels breast cancer progression: A histology-genomics integration analysis. Natrajan R, Sailem H, Mardakheh FM, Arias MG, Dowsett M, Bakal C, Yuan Y. 2016) [ Sweave; R package beta version. Statistically significant clusters of cancer and immune cells. Automated fluorescence in situ. Hybridization analysis in R. Bioconductor Package [ PDF;. FISHalyseR is a highthroughput tool for quantitative analysis of molecular heterogeneity at. Histopathology H&E image processing.

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Systems Genetics of Cancer: Evolution Function Context. Group leader PhD Free University Berlin, DE, 2006. Florian.markowetz cruk.cam.ac.uk. 44 (0)1223 769 628. Dr Andrew N Holding. Senior Research Associate PhD University of Cambridge, UK, 2009. Andrew.holding cruk.cam.ac.uk. 44 (0)1223 769 696. Dr Ines de Santiago. Postdoc PhD Imperial College London, UK, 2011. Inesdesantiago cruk.cam.ac.uk. 44 (0)1223 769 696. Postdoc PhD University of Melbourne, AU, 2011. GeoffMacintyre cruk.cam.ac.uk. At ICR, London.

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Yinyin Yuan Lab: Image-Omics | Institute of Cancer Research | London

Systematic integration of morphology and molecular data. Positioned between the new Centre of Evolution and Cancer and the Division of Molecular Pathology at ICR, our lab focuses on developing computational approaches to combine statistical modelling with pathological image analysis. Our approaches are highly interdisciplinary, linking computer science, statistics, pathology and biology. Digitising the tumour microenvironment. 3D cell dynamics for RNAi screening. High resolution z-stack imaging allows us...

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