CS 522: Machine Learning Approaches to Decode the Human Genome
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CS 522: Machine Learning Approaches to Decode the Human Genome
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Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#2Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#3Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#4Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#5Can I give you my genome? Or will I be able to reproduce your methods from this site?
Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#6Can I give you my genome? Or will I be able to reproduce your methods from this site?
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..
Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#7This 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.
Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#8If of interest, other notes are available at cs522.stanford.edu and more will be available shortly!
Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#9If of interest, other notes are available at cs522.stanford.edu and more will be available shortly!
Re: CS 522: Machine Learning Approaches to Decode the Human Genome
#10If of interest, other notes are available at cs522.stanford.edu and more will be available shortly!