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Found 4 papers, 1 papers with code
Machine Learning Prediction of COVID-19 Severity Levels From Salivaomics Data
The clinical spectrum of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that caused the COVID-19 pandemic, is broad, extending from asymptomatic infection to severe immunopulmonary reactions that, if not categorized properly, may be life-threatening.
Deep Learning Methods for Protein Family Classification on PDB Sequencing Data
Composed of amino acid chains that influence how they fold and thus dictating their function and features, proteins are a class of macromolecules that play a central role in major biological processes and are required for the structure, function, and regulation of the body's tissues.
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Recurrent neural networks have been shown to be effective architectures for many tasks in high energy physics, and thus have been widely adopted.
SimpleChrome: Encoding of Combinatorial Effects for Predicting Gene Expression
The emergence of large-scale data sets provides great opportunities for better understanding of genomics, especially gene regulation.
