Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlation

Bahman Afsari, Alexander V. Favorov, Elana J. Fertig, Leslie Cope. Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlation. In M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan, editors, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. pages 1063-1070, IEEE, 2022. [doi]

@inproceedings{AfsariFFC22,
  title = {Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlation},
  author = {Bahman Afsari and Alexander V. Favorov and Elana J. Fertig and Leslie Cope},
  year = {2022},
  doi = {10.1109/ICMLA55696.2022.00176},
  url = {https://doi.org/10.1109/ICMLA55696.2022.00176},
  researchr = {https://researchr.org/publication/AfsariFFC22},
  cites = {0},
  citedby = {0},
  pages = {1063-1070},
  booktitle = {21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022},
  editor = {M. Arif Wani and Mehmed M. Kantardzic and Vasile Palade and Daniel Neagu and Longzhi Yang and Kit Yan Chan},
  publisher = {IEEE},
  isbn = {978-1-6654-6283-9},
}