Publications Repository

Publications Repository

View Item 
  •   Home
  • ICR Divisions
  • Molecular Pathology
  • View Item
  • Home
  • ICR Divisions
  • Molecular Pathology
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Computational pathology: Exploring the spatial dimension of tumor ecology.

Thumbnail
View/Open
Published version (1.819Mb)
Publication Date
2016-09
ICR Author
Yuan, Yinyin
Nawaz, Sidra
Author
Nawaz, S
Yuan, Y
Type
Journal Article
Metadata
Show full item record
Abstract
Tumors are evolving ecosystems where cancer subclones and the microenvironment interact. This is analogous to interaction dynamics between species in their natural habitats, which is a prime area of study in ecology. Spatial statistics are frequently used in ecological studies to infer complex relations including predator-prey, resource dependency and co-evolution. Recently, the emerging field of computational pathology has enabled high-throughput spatial analysis by using image processing to identify different cell types and their locations within histological tumor samples. We discuss how these data may be analyzed with spatial statistics used in ecology to reveal patterns and advance our understanding of ecological interactions occurring among cancer cells and their microenvironment.
URL
https://repository.icr.ac.uk/handle/internal/161
Collections
  • Molecular Pathology
Version of record
10.1016/j.canlet.2015.11.018
Research team
Computational Pathology & Integrated Genomics
Language
eng
Date accepted
2015-11-10
License start date
2016-09
Citation
Cancer letters, 2016, 380 (1), pp. 296 - 303

Browse

All of ICR repositoryICR Divisions & RM Clinical UnitsIssue dateAuthorsTitlesSubjectsThis collectionIssue dateAuthorsTitlesSubjects

Statistics

Most popular itemsStatistics by countryMost popular authors
  • Login
  • Registered office: The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP
    A Charity, Not for Profit. Company Limited by Guarantee.
    Registered in England No. 534147. VAT Registration No. GB 849 0581 02.