Cite

Uncertainty measurement for single cell RNA-seq data based on class-consistent technology with application to semi-supervised gene selection.

MLA

Zhang, Qinli, et al. “Uncertainty Measurement for Single Cell RNA-Seq Data Based on Class-Consistent Technology with Application to Semi-Supervised Gene Selection.” Applied Soft Computing, vol. 146, Oct. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.asoc.2023.110645.



APA

Zhang, Q., Zhao, Z., Liu, F., & Li, Z. (2023). Uncertainty measurement for single cell RNA-seq data based on class-consistent technology with application to semi-supervised gene selection. Applied Soft Computing, 146, N.PAG. https://doi.org/10.1016/j.asoc.2023.110645



Chicago

Zhang, Qinli, Zhengwei Zhao, Fang Liu, and Zhaowen Li. 2023. “Uncertainty Measurement for Single Cell RNA-Seq Data Based on Class-Consistent Technology with Application to Semi-Supervised Gene Selection.” Applied Soft Computing 146 (October): N.PAG. doi:10.1016/j.asoc.2023.110645.