Aukerman, Andrew, Carrière, Mathieu, Chen, Chao, Gardner, Kevin, Rabadán, Raúl, and Vanguri, Rami. Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study. Retrieved from https://par.nsf.gov/biblio/10252920. 36th International Symposium on Computational Geometry (SoCG) . Web. doi:10.4230/LIPIcs.SoCG.2020.11.

Aukerman, Andrew, Carrière, Mathieu, Chen, Chao, Gardner, Kevin, Rabadán, Raúl, & Vanguri, Rami. Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study. 36th International Symposium on Computational Geometry (SoCG), (). Retrieved from https://par.nsf.gov/biblio/10252920. https://doi.org/10.4230/LIPIcs.SoCG.2020.11

Aukerman, Andrew, Carrière, Mathieu, Chen, Chao, Gardner, Kevin, Rabadán, Raúl, and Vanguri, Rami. "Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study". 36th International Symposium on Computational Geometry (SoCG) (). Country unknown/Code not available. https://doi.org/10.4230/LIPIcs.SoCG.2020.11. https://par.nsf.gov/biblio/10252920.

@article{osti_10252920,
place = {Country unknown/Code not available}, title = {Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study}, url = {https://par.nsf.gov/biblio/10252920}, DOI = {10.4230/LIPIcs.SoCG.2020.11}, abstractNote = {}, journal = {36th International Symposium on Computational Geometry (SoCG)}, author = {Aukerman, Andrew and Carrière, Mathieu and Chen, Chao and Gardner, Kevin and Rabadán, Raúl and Vanguri, Rami}, editor = {null} }