Classifying the progression of Ductal Carcinoma from single-cell sampled data via integer linear programming: A case study
(2016) IEEE-ACM Transactions on Computational Biology and Bioinformatics — Vol. 13, n° 4, p. 643 (2016)
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Catanzaro, D., & et al. (2016). Classifying the progression of Ductal Carcinoma from single-cell sampled data via integer linear programming: A case study. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 13(4), 643. https://doi.org/10.1109/TCBB.2015.2476808 (Original work published 2016)