Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets

Milko Krachunov, Maria Nisheva, Dimitar Vassilev. Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets. In Gennady Agre, Josef van Genabith, Thierry Declerck, editors, Artificial Intelligence: Methodology, Systems, and Applications - 18th International Conference, AIMSA 2018, Varna, Bulgaria, September 12-14, 2018, Proceedings. Volume 11089 of Lecture Notes in Computer Science, pages 173-185, Springer, 2018. [doi]

@inproceedings{KrachunovNV18,
  title = {Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets},
  author = {Milko Krachunov and Maria Nisheva and Dimitar Vassilev},
  year = {2018},
  doi = {10.1007/978-3-319-99344-7_16},
  url = {https://doi.org/10.1007/978-3-319-99344-7_16},
  researchr = {https://researchr.org/publication/KrachunovNV18},
  cites = {0},
  citedby = {0},
  pages = {173-185},
  booktitle = {Artificial Intelligence: Methodology, Systems, and Applications - 18th International Conference, AIMSA 2018, Varna, Bulgaria, September 12-14, 2018, Proceedings},
  editor = {Gennady Agre and Josef van Genabith and Thierry Declerck},
  volume = {11089},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-99344-7},
}