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Spatial Statistics ...
Spatial Statistics for Understanding Tissue Organization
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- Beháňová, Andrea (author)
- Uppsala universitet,Avdelningen för visuell information och interaktion,Science for Life Laboratory, SciLifeLab
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- Klemm, Anna H (author)
- Uppsala universitet,Avdelningen för visuell information och interaktion,Science for Life Laboratory, SciLifeLab
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- Wählby, Carolina, professor, 1974- (author)
- Uppsala universitet,Science for Life Laboratory, SciLifeLab,Avdelningen för visuell information och interaktion
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(creator_code:org_t)
- 2022-01-28
- 2022
- English.
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In: Frontiers in Physiology. - : Frontiers Media S.A.. - 1664-042X. ; 13
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Abstract
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Fysiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Physiology (hsv//eng)
Keyword
- transcriptomics
- spatial statistics
- gene expression
- tissue analysis
- tissue organization
- niches
Publication and Content Type
- ref (subject category)
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