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General:  covid Type:  dataset model Data Domain:  tabular Framework:  tensorflow
5cee7f889e
stop tracking Model
2 years ago
5b005d63fb
Complete project from Deepnote
2 years ago
5b005d63fb
Complete project from Deepnote
2 years ago
5b005d63fb
Complete project from Deepnote
2 years ago
5cee7f889e
stop tracking Model
2 years ago
2 years ago
4379ac72a1
Initial commit
2 years ago
2 years ago
4379ac72a1
Initial commit
2 years ago
5b005d63fb
Complete project from Deepnote
2 years ago
5b005d63fb
Complete project from Deepnote
2 years ago
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README.md

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mRNA-Vaccine-Degradation-Prediction

We need to design the model that will predict likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span a panoply of sequences and structures) and their degradation rates at each position.

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About

I have experimented with multiple traditional models including Light GBM, Catboost, and BiLSTM, but the result was quite bad as compare to triple GRU layers. Using simple 3 Bidirectional GRU layer with linear activation. This model is quite simple and derived from xhlulu initial model.

https://deepnote.com/@abid/mRNA-Vaccine-Degradation-Prediction-ZbqWvkGcQXGU3-1fDqb-fQ
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