James Zou: "Deep learning for genomics: Introduction and examples"

Computational Genomics Summer Institute 2017
Research Talk: "Deep learning for genomics: Introduction and examples"
James Zou, Stanford University
Institute for Pure and Applied Mathematics, UCLA
July 11, 2017
For more information: computationalgenomics.bioinfor...

[@mayankpj]

Very nice talk James! You're really good at your stuff and then summarizing it in a good way too.
I have started working on deep learning a couple of months back, this talk was a nice treat to listen to and understand the application into Genomics ....

[@qaisarmaqbool3047]

what are you doing now after 4 years ? I am also doing phd in chemistry and learning machine language python and tensor flow

[@fleXcope]

Inspiring topics

[@b.ambrozio]

Any example of Deep Learning in GWAS?

[@ProfessionalTycoons]

good talk!

[@zhuyixue4979]

What's the motivation behind the pooling layer, why is downsamplibg necessary?

[@ProfessionalTycoons]

to save computational power reduce the dimensionality as well as generalization power.

[@tempvariable]

pooling layer helps the output to be the same when there are small shifts in the input

[@motiurrahman]

This dude is doing stuff.

[@tempvariable]

I cannot hear what he says at 35:53 starting with "Maybe I want", can anyone transcribe? Thanks

[@stretch8390]

I'm a bit late here, but I'm fairly sure he says, "Maybe I want to bind well to certain proteins and very specifically".

[@tempvariable]

19:09 combining deep learning with genomics

[@WildanPutraAldi]

Thanks a lot 👍

[@zarroc5858]

What is this word he’s saying, siliconeogenesis?

[@zhuyixue4979]

Austin Jensen I think it in silico mutagenesis