Integrative analysis of histopathological images and chromatin accessibility data for estrogen receptor-positive breast cancer.

ABSTRACT:

Background

Existing studies have demonstrated that the integrative analysis of histopathological images and genomic data can be used to better understand the onset and progression of many diseases, as well as identify new diagnostic and prognostic biomarkers. However, since the development of pathological phenotypes are influenced by a variety of complex biological processes, complete understanding of the underlying gene regulatory mechanisms for the cell and tissue morphology is still a challenge. In this study, we explored the relationship between the chromatin accessibility changes and the epithelial tissue proportion in histopathological images of estrogen receptor (ER) positive breast cancer.

Methods

An established whole slide image processing pipeline based on deep lea

SUBMITTER: Xu S 

PROVIDER: S-EPMC7771206 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature