Computational challenges and opportunities in spatially resolved transcriptomic data analysis.
Where this comes from
- Record sourced from PubMed, PMID 34489425.
- Also identified by DOI 10.1038/s41467-021-25557-9 and PMC identifier 8421472.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Spatially resolved transcriptomic data demand new computational analysis methods to derive biological insights. Here, we comment on these associated computational challenges as well as highlight the opportunities for standardized benchmarking metrics and data-sharing infrastructure in spurring innovation moving forward.
Medical subject headings
- Gene Expression Profiling
- Mathematical Computing
- Single-Cell Analysis
- Transcriptome