Unlocking Cellular Insights Through Cell-Type Decomposition
Author:
Funder
National Institute on Aging
Publisher
Springer Science and Business Media LLC
Subject
Biochemistry, Genetics and Molecular Biology (miscellaneous),Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s12561-023-09389-3.pdf
Reference14 articles.
1. Tai A-S, Wang C-C, Hsieh W-P (2022) Detection of cell separation–induced gene expression through a penalized deconvolution approach. Stat Biosci. https://doi.org/10.1007/s12561-022-09344-8
2. Yu J, Wu Q, Luo X (2021) Bayesian joint modeling of single-cell expression data and bulk spatial transcriptomic data. Stat Biosci. https://doi.org/10.1007/s12561-021-09308-4
3. GTEx Consortium (2020) The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science 369:1318–1330
4. Eraslan G et al (2022) Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function. Science 376:eab14290
5. Carter SL et al (2012) Absolute quantification of somatic DNA alterations in human cancer. Nat Biotechnol 30:413–421
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