Closed cwalker4 closed 6 years ago
Not sure how useful this is for our data since I don't know all the bio. But this seems useful.
https://academic.oup.com/bioinformatics/article/32/12/i121/2240609
Here's a running list of deep learning applications in Bio (specifically in Genomics)
Here are some lecture slides on CNNs for genomics from CS273B. Our project advisor took this class, so it might be good to have a conversation with him about how we should be thinking about CNNs and whether we should consider using them.
no.
Some preliminary reading:
https://www.quora.com/How-can-convolutional-neural-networks-be-used-for-non-image-data
https://www.quora.com/Are-convolutional-neural-networks-useful-only-for-image-recognition-or-applications-having-spatial-features
My best guess based on skimming those links: yes, if our input data is something like a full genome where entries that are close together in our vector are also physically close to one another on the chromosome.