Classifying the progression of Ductal Carcinoma from single-cell sampled data via integer linear programming: a case study
Daniele Catanzaro,
Stanley E. Schackney,
Alejandro A. Schäffer and
Russell Schwartz
No 2778, LIDAM Reprints CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)
Date: 2016-01-01
Note: In : IEEE/ACM Transactions on Computational Biology and Bioinformatics, 13(4), 643-655, 2016
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvrp:2778
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