Autoencoder based local T cell repertoire density can be used to classify samples and T cell receptors

MLA

Shirit Dvorkin, et al. “Autoencoder Based Local T Cell Repertoire Density Can Be Used to Classify Samples and T Cell Receptors.” PLOS Computational Biology, vol. 17, July 2021, p. e1009225. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1009225.

APA

Shirit Dvorkin, Reut Levi, & Yoram Louzoun. (2021). Autoencoder based local T cell repertoire density can be used to classify samples and T cell receptors. PLOS Computational Biology, 17, e1009225. https://doi.org/10.1371/journal.pcbi.1009225

Chicago

Shirit Dvorkin, Reut Levi, and Yoram Louzoun. 2021. “Autoencoder Based Local T Cell Repertoire Density Can Be Used to Classify Samples and T Cell Receptors.” PLOS Computational Biology 17 (July): e1009225. doi:10.1371/journal.pcbi.1009225.