LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks

@article{Jeendgar2022LogGENEAS,
  title={LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks},
  author={Aryaman Jeendgar and Aditya Pola and Soma S. Dhavala and Snehanshu Saha},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.09333}
}
High-throughput Genomics is ushering a new era in personalized health care, and targeted drug design and delivery. Mining these large datasets, and obtaining calibrated predictions is of immediate relevance and utility. In our work, we develop methods for Gene Expression Inference based on Deep neural networks. However, unlike typical Deep learning methods, our inferential technique, while achieving state-of-the-art performance in terms of accuracy, can also provide explanations, and report… 

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