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Puliparambil, Bhavithry Sen; Tomal, Jabed; Yan, Yan Benchmarking penalized regression methods in machine learning for single cell RNA sequencing data. (English) Zbl 1496.92075 Jin, Lingling (ed.) et al., Comparative genomics. 19th international conference, RECOMB-CG 2022, La Jolla, CA, USA, May 20–21, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13234, 295-310 (2022). MSC: 92D20 68T05 62P10 PDF BibTeX XML Cite \textit{B. S. Puliparambil} et al., Lect. Notes Comput. Sci. 13234, 295--310 (2022; Zbl 1496.92075) Full Text: DOI
Jiang, Hao; Yi, Ming; Zhang, Shihua A kernel non-negative matrix factorization framework for single cell clustering. (English) Zbl 1481.92045 Appl. Math. Modelling 90, 875-888 (2021). MSC: 92C40 62H30 PDF BibTeX XML Cite \textit{H. Jiang} et al., Appl. Math. Modelling 90, 875--888 (2021; Zbl 1481.92045) Full Text: DOI
Schefzik, Roman SimBPDD: Simulating differential distributions in beta-Poisson models, in particular for single-cell RNA sequencing data. (English) Zbl 1474.62393 Ann. Math. Inform. 53, 283-298 (2021). MSC: 62P10 62E15 62-08 92D20 PDF BibTeX XML Cite \textit{R. Schefzik}, Ann. Math. Inform. 53, 283--298 (2021; Zbl 1474.62393) Full Text: DOI
Shomron, Noam (ed.) Deep sequencing data analysis. 2nd updated and extended edition. (English) Zbl 1476.92002 Methods in Molecular Biology 2243. New York, NY: Humana Press (ISBN 978-1-0716-1102-9/hbk; 978-1-0716-1103-6/ebook). x, 374 p. (2021). Reviewer: Irina Ioana Mohorianu (Oxford) MSC: 92-06 00B15 92D20 92D10 PDF BibTeX XML Cite \textit{N. Shomron} (ed.), Deep sequencing data analysis. 2nd updated and extended edition. New York, NY: Humana Press (2021; Zbl 1476.92002) Full Text: DOI
Fuetterer, Cornelia; Augustin, Thomas; Fuchs, Christiane Adapted single-cell consensus clustering (adaSC3). (English) Zbl 1474.62226 Adv. Data Anal. Classif., ADAC 14, No. 4, 885-896 (2020). MSC: 62H30 62P10 92D20 PDF BibTeX XML Cite \textit{C. Fuetterer} et al., Adv. Data Anal. Classif., ADAC 14, No. 4, 885--896 (2020; Zbl 1474.62226) Full Text: DOI
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