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CS 522: Machine Learning Approaches to Decode the Human Genome

cs522.stanford.edu

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Re: CS 522: Machine Learning Approaches to Decode the Human Genome

#6

Can I give you my genome? Or will I be able to reproduce your methods from this site?

I think there is an important distinction between sequencing a genome and then using ML methods to extract meaning from it. Sequencing (has traditionally) been hard but is now more of a tractable problem [1, 2].

To answer your question, if you have your genome and a dataset of known genomes marked with functions according to regions, then you could probably perform an interesting analysis..

[1] https://nanoporetech.com/ [2] https://www.illumina.com/

Re: CS 522: Machine Learning Approaches to Decode the Human Genome

#7
> Learning the DNA regulatory code of the genome

This is so interesting. I cannot imagine what kind of language evolution chose to build on top of DNA. There must be some paradigm it maps to, and it's going to be incredibly interesting to see if a compiler/interpreter can be made for DNA, along with higher level languages that compile down to it.

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