Xi, Nan Miles, and Li, Jingyi Jessica. Exploring the optimization of autoencoder design for imputing single-cell RNA sequencing data. Retrieved from https://par.nsf.gov/biblio/10511502. Computational and Structural Biotechnology Journal 21.C Web. doi:10.1016/j.csbj.2023.07.041.

Xi, Nan Miles, & Li, Jingyi Jessica. Exploring the optimization of autoencoder design for imputing single-cell RNA sequencing data. Computational and Structural Biotechnology Journal, 21 (C). Retrieved from https://par.nsf.gov/biblio/10511502. https://doi.org/10.1016/j.csbj.2023.07.041

Xi, Nan Miles, and Li, Jingyi Jessica. "Exploring the optimization of autoencoder design for imputing single-cell RNA sequencing data". Computational and Structural Biotechnology Journal 21 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.csbj.2023.07.041. https://par.nsf.gov/biblio/10511502.

@article{osti_10511502,
place = {Country unknown/Code not available}, title = {Exploring the optimization of autoencoder design for imputing single-cell RNA sequencing data}, url = {https://par.nsf.gov/biblio/10511502}, DOI = {10.1016/j.csbj.2023.07.041}, abstractNote = {}, journal = {Computational and Structural Biotechnology Journal}, volume = {21}, number = {C}, publisher = {Elsevier}, author = {Xi, Nan Miles and Li, Jingyi Jessica}, }