A Novel Divisive iK-Means Algorithm with Region-Driven Feature Selection as a Tool for Automated Detection of Tumour Heterogeneity in MALDI IMS Experiments

Grzegorz Mrukwa, Grzegorz Drazek, Monika Pietrowska, Piotr Widlak, Joanna Polanska. A Novel Divisive iK-Means Algorithm with Region-Driven Feature Selection as a Tool for Automated Detection of Tumour Heterogeneity in MALDI IMS Experiments. In Francisco M. Ortuño Guzman, Ignacio Rojas, editors, Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Granada, Spain, April 20-22, 2016, Proceedings. Volume 9656 of Lecture Notes in Computer Science, pages 113-124, Springer, 2016. [doi]

@inproceedings{MrukwaDPWP16,
  title = {A Novel Divisive iK-Means Algorithm with Region-Driven Feature Selection as a Tool for Automated Detection of Tumour Heterogeneity in MALDI IMS Experiments},
  author = {Grzegorz Mrukwa and Grzegorz Drazek and Monika Pietrowska and Piotr Widlak and Joanna Polanska},
  year = {2016},
  doi = {10.1007/978-3-319-31744-1_11},
  url = {http://dx.doi.org/10.1007/978-3-319-31744-1_11},
  researchr = {https://researchr.org/publication/MrukwaDPWP16},
  cites = {0},
  citedby = {0},
  pages = {113-124},
  booktitle = {Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Granada, Spain, April 20-22, 2016, Proceedings},
  editor = {Francisco M. Ortuño Guzman and Ignacio Rojas},
  volume = {9656},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-31743-4},
}