Spatial Statistics for Understanding Tissue Organization

Beháňová, Andrea (author): Uppsala universitet,Avdelningen för visuell information och interaktion,Science for Life Laboratory, SciLifeLab

Klemm, Anna H (author): Uppsala universitet,Avdelningen för visuell information och interaktion,Science for Life Laboratory, SciLifeLab

Wählby, Carolina, professor, 1974- (author): Uppsala universitet,Science for Life Laboratory, SciLifeLab,Avdelningen för visuell information och interaktion

(creator_code:org_t)

Related links:: https://doi.org/10.3...; show more...; https://uu.diva-port... (primary) (Raw object); https://www.frontier...; https://urn.kb.se/re...; https://doi.org/10.3...; show less...

Abstract Subject headings

Interpreting tissue architecture plays an important role in gaining a better understanding of healthy tissue development and disease. Novel molecular detection and imaging techniques make it possible to locate many different types of objects, such as cells and/or mRNAs, and map their location across the tissue space. In this review, we present several methods that provide quantification and statistical verification of observed patterns in the tissue architecture. We categorize these methods into three main groups: Spatial statistics on a single type of object, two types of objects, and multiple types of objects. We discuss the methods in relation to four hypotheses regarding the methods' capability to distinguish random and non-random distributions of objects across a tissue sample, and present a number of openly available tools where these methods are provided. We also discuss other spatial statistics methods compatible with other types of input data.

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Basic Medicine; and Physiology

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