Weijler, L.; Kowarsch, F.; Wödlinger, M.; Reiter, M.; Maurer-Granofszky, M.; Schumich, A.; Dworzak, M.N.
UMAP Based Anomaly Detection for Minimal Residual Disease Quantification within Acute Myeloid Leukemia. Cancers 2022, 14, 898.
https://doi.org/10.3390/cancers14040898
AMA Style
Weijler L, Kowarsch F, Wödlinger M, Reiter M, Maurer-Granofszky M, Schumich A, Dworzak MN.
UMAP Based Anomaly Detection for Minimal Residual Disease Quantification within Acute Myeloid Leukemia. Cancers. 2022; 14(4):898.
https://doi.org/10.3390/cancers14040898
Chicago/Turabian Style
Weijler, Lisa, Florian Kowarsch, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Angela Schumich, and Michael N. Dworzak.
2022. "UMAP Based Anomaly Detection for Minimal Residual Disease Quantification within Acute Myeloid Leukemia" Cancers 14, no. 4: 898.
https://doi.org/10.3390/cancers14040898
APA Style
Weijler, L., Kowarsch, F., Wödlinger, M., Reiter, M., Maurer-Granofszky, M., Schumich, A., & Dworzak, M. N.
(2022). UMAP Based Anomaly Detection for Minimal Residual Disease Quantification within Acute Myeloid Leukemia. Cancers, 14(4), 898.
https://doi.org/10.3390/cancers14040898