Nothing
A novel pseudo-value regression approach for the differential co-expression network analysis in expression data, which can incorporate additional clinical variables in the model. This is a direct regression modeling for the differential network analysis, and it is therefore computationally amenable for the most users. The full methodological details can be found in Ahn S et al (2023) <doi:10.1186/s12859-022-05123-w>.
Package details |
|
---|---|
Author | Seungjun Ahn [cre, aut, trl] (<https://orcid.org/0000-0002-4816-8924>), Somnath Datta [ctb, ths] |
Maintainer | Seungjun Ahn <seungjun.ahn@mountsinai.org> |
License | GPL-3 |
Version | 1.0.6 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.