Integrative Analysis of Gene Expression and Alternative Polyadenylation from Single-Cell RNA-seq Data
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7074-2_24
Reference22 articles.
1. Butler, A., et al.: Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat. Biotechnol. 36, 411 (2018)
2. Kharchenko, P.V., et al.: Bayesian approach to single-cell differential expression analysis. Nat. Methods 11, 740 (2014)
3. Grun, D., et al.: Validation of noise models for single-cell transcriptomics. Nat. Methods 11, 637–640 (2014)
4. Saliba, A.-E., et al.: Single-cell RNA-seq: advances and future challenges. Nucleic Acids Res. 42, 8845–8860 (2014)
5. Chen, W., et al.: Alternative polyadenylation: methods, findings, and impacts. Genomics Proteomics Bioinf. 15, 287–300 (2017)
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