Article

Predictive Modelling of Parkinson’s Disease Progression Based on RNA-Sequence with Densely Connected Deep Recurrent Neural Networks

2022-09-06

Abstract excerpt

The advent of recent high throughput sequencing technologies resulted in an unexplored big data of genomics and transcriptomics that might help to answer various research questions in Parkinson’s disease (PD) progression. While the literature has revealed various predictive models that use longitudinal clinical data for disease progression, there is no predictive model based on RNA-Sequence data of PD patients. Th...

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Literature Corpus work: 96bae063-e656-57c6-9cbb-8b7e5c6a3c54
DOI: 10.21203/rs.3.rs-2019834/v1

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