Geographically weighted linear combination test for gene-set analysis of a continuous spatial phenotype as applied to intratumor heterogeneity

Geographically weighted linear combination test for gene-set analysis of a continuous spatial phenotype as applied to intratumor heterogeneity

Background: The impact of gene-sets on a spatial phenotype is not necessarily uniform across different locations of cancer tissue. This study introduces a computational platform, GWLCT, for combining gene set analysis with spatial data modeling to provide a new statistical test for location-specific...

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Bibliographic Details
Main Authors: Payam Amini, Morteza Hajihosseini, Saumyadipta Pyne, Irina Dinu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
intratumor heterogeneity
gene-set analysis
geographically weighted regression
linear combination test
Spatial single cell analysis
cancer-associated fibroblast
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2023.1065586/full

Internet

https://www.frontiersin.org/articles/10.3389/fcell.2023.1065586/full

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