CytomicsDB: A Metadata-Based Storage and Retrieval Approach for High-Throughput Screening Experiments

E. Larios, Y. Zhang, L. Cao, F. J. Verbeek. CytomicsDB: A Metadata-Based Storage and Retrieval Approach for High-Throughput Screening Experiments. In Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath C. Rajapakse, editors, Pattern Recognition in Bioinformatics - 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings. Volume 8626 of Lecture Notes in Computer Science, pages 72-84, Springer, 2014. [doi]

@inproceedings{LariosZCV14,
  title = {CytomicsDB: A Metadata-Based Storage and Retrieval Approach for High-Throughput Screening Experiments},
  author = {E. Larios and Y. Zhang and L. Cao and F. J. Verbeek},
  year = {2014},
  doi = {10.1007/978-3-319-09192-1_7},
  url = {http://dx.doi.org/10.1007/978-3-319-09192-1_7},
  researchr = {https://researchr.org/publication/LariosZCV14},
  cites = {0},
  citedby = {0},
  pages = {72-84},
  booktitle = {Pattern Recognition in Bioinformatics - 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings},
  editor = {Matteo Comin and Lukas Käll and Elena Marchiori and Alioune Ngom and Jagath C. Rajapakse},
  volume = {8626},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-09191-4},
}