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SubscribeGGG 298 - Week 8 - 2/26 and 2/28, 2020
Wednesday lab - 2/26
R/R Markdown
Friday discussion - 2/28
Homework
Please read Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders, by Way & Greene. (Note that Casey Greene is one of the Moore DDD Investigators that "won" the contest we talked about in the first reading!)
After reading the paper, answer the following question and submit it to this form by Friday 2/28 at 11am:
Imagine that you have and your advisor are having a discussion about whether to use a variational autoencoder ("deep learning" or AI) for your current research problem. Your advisor and your collaborators are very much for trying it, but none of you have much experience with deep learning. What considerations might you bring to the conversation in exploring whether deep learning is a good fit for your problem?