CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest

Seyed Ziaeddin Alborzi, D. A. K. Maduranga, Rui Fan, Jagath C. Rajapakse, Jie Zheng. CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest. 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 85-97, Springer, 2014. [doi]

@inproceedings{AlborziMFRZ14,
  title = {CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest},
  author = {Seyed Ziaeddin Alborzi and D. A. K. Maduranga and Rui Fan and Jagath C. Rajapakse and Jie Zheng},
  year = {2014},
  doi = {10.1007/978-3-319-09192-1_8},
  url = {http://dx.doi.org/10.1007/978-3-319-09192-1_8},
  researchr = {https://researchr.org/publication/AlborziMFRZ14},
  cites = {0},
  citedby = {0},
  pages = {85-97},
  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},
}