The Maximum Similarity Partitioning Problem and its Application in the Transcriptome Reconstruction and Quantification Problem

Alex Z. Zaccaron, Said Sadique Adi, Carlos H. A. Higa, Eloi Araujo, Burton H. Bluhm. The Maximum Similarity Partitioning Problem and its Application in the Transcriptome Reconstruction and Quantification Problem. In Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Marina L. Gavrilova, Ana Maria Alves Coutinho Rocha, Carmelo Maria Torre, David Taniar, Bernady O. Apduhan, editors, Computational Science and Its Applications - ICCSA 2015 - 15th International Conference, Banff, AB, Canada, June 22-25, 2015, Proceedings, Part I. Volume 9155 of Lecture Notes in Computer Science, pages 257-266, Springer, 2015. [doi]

@inproceedings{ZaccaronAHAB15,
  title = {The Maximum Similarity Partitioning Problem and its Application in the Transcriptome Reconstruction and Quantification Problem},
  author = {Alex Z. Zaccaron and Said Sadique Adi and Carlos H. A. Higa and Eloi Araujo and Burton H. Bluhm},
  year = {2015},
  doi = {10.1007/978-3-319-21404-7_19},
  url = {http://dx.doi.org/10.1007/978-3-319-21404-7_19},
  researchr = {https://researchr.org/publication/ZaccaronAHAB15},
  cites = {0},
  citedby = {0},
  pages = {257-266},
  booktitle = {Computational Science and Its Applications - ICCSA 2015 - 15th International Conference, Banff, AB, Canada, June 22-25, 2015, Proceedings, Part I},
  editor = {Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Marina L. Gavrilova and Ana Maria Alves Coutinho Rocha and Carmelo Maria Torre and David Taniar and Bernady O. Apduhan},
  volume = {9155},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-21403-0},
}