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Pedersen, C. B., & Olsen, L. R. (2019). Analysis of Mass Cytometry Data. In Mass Cytometry (pp. 267-279). Humana, New York, NY. doi:10.1007/978-1-4939-9454-0_17

Simon, C., Davidsen, K., Hansen, C., Seymour, E., Barnkob, M. B., & Olsen, L. R. (2019). BioReader: a text mining tool for performing classification of biomedical literature. BMC bioinformatics, 19(13), 57. doi:10.1186/s12859-019-2607-x

Jurtz, V. I., & Olsen, L. R. (2019). Computational methods for identification of T cell neoepitopes in tumors. In Cancer Bioinformatics (pp. 157-172). Humana Press, New York, NY. doi:10.1007/978-1-4939-8868-6_9

Olsen, L. R., Pedersen, C. B., Leipold, M. D., & Maecker, H. T. (2019). Getting the Most from Your High-Dimensional Cytometry Data. Immunity, 50(3), 535-536. doi:10.1016/j.immuni.2019.02.015

Li, S., Sun, J., Allesøe, R., Datta, K., Bao, Y., Oliveira, G., Forman, J., Jin, R., Olsen, L. R., Keskin, D. B., Shukla, S. A., Wu, C. J. & Livak, K. J. (2019). RNase H–dependent PCR-enabled T-cell receptor sequencing for highly specific and efficient targeted sequencing of T-cell receptor mRNA for single-cell and repertoire analysis. Nature protocols, 14(8), 2571-2594. doi:10.1038/s41596-019-0195-x

Olsen, L. R., Leipold, M. D., Pedersen, C. B., & Maecker, H. T. (2019). The anatomy of single cell mass cytometry data. Cytometry Part A, 95(2), 156-172. doi:10.1002/cyto.a.23621


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