MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling.

@inproceedings{yang-2023-moclim, author = {Ziwei Yang and Zheng Chen and Yasuko Matsubara and Yasushi Sakurai}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {2895--2905}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614970}, doi = {https://doi.org/10.1145/3583780.3614970} }