KrishnaswamyLab / MAGIC

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
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Error during Rescaling #103

Closed JurijsNazarovs closed 6 years ago

JurijsNazarovs commented 6 years ago

Hello, I have a following error in the last step.

[1] "Rescaling" Error in quantile.default(x, rescale_percent) : missing values and NaN's not allowed if 'na.rm' is FALSE Calls: run_magic -> apply -> FUN -> quantile -> quantile.default Execution halted

alextamburino commented 6 years ago

Hi, Did you receive support with this issue? I have the same issue and need to troubleshoot. Thanks, Alex

JurijsNazarovs commented 6 years ago

I have not got a support regarding this issue. I ended up with using Python version of a method. There is no such problem.

dvdijk commented 6 years ago

We released a new version of MAGIC that shouldn't have this problem.

On Sun, Jul 1, 2018 at 1:42 PM Jurijs Nazarovs notifications@github.com wrote:

I have not got a support regarding this issue. I ended up with using Python version of a method. There is no such problem.

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alextamburino commented 6 years ago

Ok, thanks. I just installed the R version this week. Perhaps I can check for a newer version.

On Sun, Jul 1, 2018, 2:13 PM dvdijk notifications@github.com wrote:

We released a new version of MAGIC that shouldn't have this problem.

On Sun, Jul 1, 2018 at 1:42 PM Jurijs Nazarovs notifications@github.com wrote:

I have not got a support regarding this issue. I ended up with using Python version of a method. There is no such problem.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub < https://github.com/KrishnaswamyLab/MAGIC/issues/103#issuecomment-401621621 , or mute the thread < https://github.com/notifications/unsubscribe-auth/AAEfs8hKgQ3geYiTKiShQojRZySkw3h4ks5uCQnsgaJpZM4UAiy0

.

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dvdijk commented 6 years ago

yeah, the new version was released yesterday. Its much more scalable and much faster now.

On Sun, Jul 1, 2018 at 2:15 PM alextamburino notifications@github.com wrote:

Ok, thanks. I just installed the R version this week. Perhaps I can check for a newer version.

On Sun, Jul 1, 2018, 2:13 PM dvdijk notifications@github.com wrote:

We released a new version of MAGIC that shouldn't have this problem.

On Sun, Jul 1, 2018 at 1:42 PM Jurijs Nazarovs <notifications@github.com

wrote:

I have not got a support regarding this issue. I ended up with using Python version of a method. There is no such problem.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <

https://github.com/KrishnaswamyLab/MAGIC/issues/103#issuecomment-401621621

, or mute the thread <

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alextamburino commented 6 years ago

That's great! Thanks!!

On Sun, Jul 1, 2018, 2:17 PM dvdijk notifications@github.com wrote:

yeah, the new version was released yesterday. Its much more scalable and much faster now.

On Sun, Jul 1, 2018 at 2:15 PM alextamburino notifications@github.com wrote:

Ok, thanks. I just installed the R version this week. Perhaps I can check for a newer version.

On Sun, Jul 1, 2018, 2:13 PM dvdijk notifications@github.com wrote:

We released a new version of MAGIC that shouldn't have this problem.

On Sun, Jul 1, 2018 at 1:42 PM Jurijs Nazarovs < notifications@github.com

wrote:

I have not got a support regarding this issue. I ended up with using Python version of a method. There is no such problem.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <

https://github.com/KrishnaswamyLab/MAGIC/issues/103#issuecomment-401621621

, or mute the thread <

https://github.com/notifications/unsubscribe-auth/AAEfs8hKgQ3geYiTKiShQojRZySkw3h4ks5uCQnsgaJpZM4UAiy0

.

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