tavoglc

[tavoglc]

A computational description of SARSCov2 adaptation.

[tavoglc]

[tavoglc]

Forecasting COVID19 mutational patterns with variational autoencoders

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Tired of covid ? Make your own dengue with jax

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Want to predict new COVID-19 variants but don't know where to start? Here is how

[tavoglc]

Tired of all those COVID variants? get ahead of the game, and predict them yourself with JAX. #COVID #MachineLearning #Python

https://github.com/TavoGLC/SARSCov2Solar

[tavoglc]

Why is hard to find the seasonality or pattern behind COVID-19 waves? One possibility is the lack of a meaningful coordinate system. #COV1D #Covid

For example, if we look at the movement of mercury through time we will end up observing also the retrograde movement of the planet. That's due to our position relative to the planet. #COV1D #Covid

If we position ourselves in the sun, then we will see the normal movement of all the planets. Luckily neural networks can be used to retrieve a meaningful coordinate system from complex data sources. #COV1D #Covid

In the case of COVID-19, the data source will be the genomic sequences obtained through genomic surveillance. #COV1D #Covid

Training a VAE with a custom sequence representation sports the different genomes by a temporal variable. Currently, the best fit is the sunshine duration rate of change. A proxy measure of the rate of change of solar radiation at a specific location. #COV1D #Covid

If we plot the cases using the sunshine duration as a measure of time the different waves are located at the extremes of the axis. But if we look at how the sunshine duration changes specific rates appear to constrain the duration of the waves #COV1D #Covid

Also by approaching polar latitudes the frequency of those periods increases. #COV1D #Covid

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[tavoglc]

SARSCov2 sizes by number of sunspots

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Changes in SARSCov2 genome length by sunshine duration

[tavoglc]

Changes in SARSCov2 genome size by date and location.

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