Article ; Online: An information theoretic approach to detecting spatially varying genes.
Cell reports methods
2023 Volume 3, Issue 6, Page(s) 100507
Abstract: A key step in spatial transcriptomics is identifying genes with spatially varying expression patterns. We adopt an information theoretic perspective to this problem by equating the degree of spatial coherence with the Jensen-Shannon divergence between ... ...
Abstract | A key step in spatial transcriptomics is identifying genes with spatially varying expression patterns. We adopt an information theoretic perspective to this problem by equating the degree of spatial coherence with the Jensen-Shannon divergence between pairs of nearby cells and pairs of distant cells. To avoid the notoriously difficult problem of estimating information theoretic divergences, we use modern approximation techniques to implement a computationally efficient algorithm designed to scale with |
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MeSH term(s) | Humans ; Algorithms ; Carcinoma, Renal Cell/genetics ; Gene Expression Profiling ; Technology ; Kidney Neoplasms/genetics |
Language | English |
Publishing date | 2023-06-16 |
Publishing country | United States |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
ISSN | 2667-2375 |
ISSN (online) | 2667-2375 |
DOI | 10.1016/j.crmeth.2023.100507 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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