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snap-stanford / GEARS

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
MIT License
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No file in https://dataverse.harvard.edu/api/accsess/datafile/6934319 #38

Closed hzlllll closed 11 months ago

hzlllll commented 11 months ago

Hello, I try to use the tutorial but i can't find the go_essential_all in https://dataverse.harvard.edu/api/accsess/datafile/6934319 image

Here is the response: image May you give another valid file link? Thanks!

yhr91 commented 11 months ago

Seems to be downloading for me using the link

https://github.com/snap-stanford/GEARS/blob/5866c6b71633812a0e957b2df90465d81a023022/gears/utils.py#L249

The link that you share in your comment has a typo. It should be access not accsess

hzlllll commented 11 months ago

Seems to be downloading for me using the link

https://github.com/snap-stanford/GEARS/blob/5866c6b71633812a0e957b2df90465d81a023022/gears/utils.py#L249

The link that you share in your comment has a typo. It should be access not accsess Sorry, I find the link in the code but may forget to copy it! Thanks!