MOFA | Multi-Omics Factor Analysis

by bioFAM R Version: Current License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | MOFA Summary

MOFA is a R library. MOFA has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

Multi-Omics Factor Analysis

Support

Quality

Security

License

Reuse

Support

MOFA has a low active ecosystem.

It has 192 star(s) with 48 fork(s). There are 27 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 52 have been closed. On average issues are closed in 42 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MOFA is current.

Quality

MOFA has no bugs reported.

Security

MOFA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

MOFA is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

MOFA releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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MOFA Key Features

No Key Features are available at this moment for MOFA.

MOFA Examples and Code Snippets

No Code Snippets are available at this moment for MOFA.

Community Discussions

Trending Discussions on MOFA

how to shows last index input value tag... ng-repeat

r How to change order x axis labels in faceted plots using free scales and how to add a seconday axis

How can I show image with URL in pyqt

QUESTION

how to shows last index input value tag... ng-repeat

Asked 2019-May-07 at 17:44

how to shows input value in last index in ng-repeat but its shows everyrow item... i want only last index user enter payment amount please anyone help me this highly appreciated

...

ANSWER

Answered 2019-May-07 at 17:44

Use the ng-if directive with the $last property of the ng-repeat item scope:

Source https://stackoverflow.com/questions/55852271

QUESTION

r How to change order x axis labels in faceted plots using free scales and how to add a seconday axis

Asked 2019-Apr-03 at 22:17

I have two problems:

change the order of xlabels in a facetted plot.
I would like to add a secondary axis in the faceted plot.

...

ANSWER

Answered 2019-Apr-03 at 22:17

ggplot(exampledata, aes(x=code_sec %>% forcats::fct_reorder(code), y= cases, fill=sex))+
  facet_wrap(~areas, nrow = 2, scales = "free") +
  geom_bar(position=position_dodge(), stat="identity") +
  geom_bar(position=position_dodge(), stat="identity", color = "black", fill = NA, 
           aes(group = sex, y = freq)) +
  labs(title = "Cases in shaded areas, frequency in outlined bars", x = "code_sec")

Source https://stackoverflow.com/questions/55504905

QUESTION

How can I show image with URL in pyqt

Asked 2017-Jun-12 at 11:43

I used this code

...

ANSWER

Answered 2017-Jun-12 at 07:45

I think the links do not contain the images directly, they just run a script on the server which initialize download. Therefore, you cannot use the links to display the pictures (note the example link ends with image.png which directly refers the image file, while your links contain just some query data). You will have to download them (alternatively, you could upload them on a different location, such as http://imgur.com/)

Source https://stackoverflow.com/questions/44482270

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install MOFA

MOFA is run exclusively from R, but it requires some python dependencies.

Support

(Q) How do I normalise the data? Always try to remove any technical source of variability before fitting the model. For example, for count-based data such as RNA-seq or ATAC-seq we recommend size factor normalisation + variance stabilisation. For microarray DNA methylation data, make sure that samples have no differences in the average intensity. If this is not done correctly, the model will learn a very strong Factor 1 that will capture this variability, and more subtle sources of variation will be harder to identify. We have implemented a function called regressCovariates that allows the user to regress out a covariate using linear models. See the documentation and the CLL vignette for examples. You probably tried to install them using install.packages(). These packages should be installed from Bioconductor.

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