Simpler and Faster Development of Tumor Phylogeny Pipelines-Reference-Cited by-同舟云学术

Simpler and Faster Development of Tumor Phylogeny Pipelines

Published:2021-11-01 Issue:11 Volume:28 Page:1142-1155
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Ali Sarwan¹,Ciccolella Simone²,Lucarella Lorenzo²,Vedova Gianluca Della²,Patterson Murray¹^ORCID

Affiliation:

1. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.

2. Department of Informatics, Systems, and Communications, University of Milano–Bicocca, Milano, Italy.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2021.0271

Reference58 articles.

1. Ali, S., Mansoor, H., Arshad, N., et al. 2019a. Short term load forecasting using smart meter data, 419–421. Proceedings of the Tenth ACM International Conference on Future Energy Systems. Vol. 2019, no. 3330173, 419–421.

2. Bernardini, G., Bonizzoni, P., Della Vedova, G., et al. 2019. A rearrangement distance for fully-labelled trees. 30th Annual Symposium on Combinatorial Pattern Matching (CPM 2019), Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.

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