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OpEnHiMR  

Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice
View on CRAN: Click here


Download and install OpEnHiMR package within the R console
Install from CRAN:
install.packages("OpEnHiMR")

Install from Github:
library("remotes")
install_github("cran/OpEnHiMR")

Install by package version:
library("remotes")
install_version("OpEnHiMR", "0.1.1")



Attach the package and use:
library("OpEnHiMR")
Maintained by
Dipro Sinha
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-26
Latest Update: 2024-05-30
Description:
The comprehensive knowledge of epigenetic modifications in plants, encompassing histone modifications in regulating gene expression, is not completely ingrained. It is noteworthy that histone deacetylation and histone H3 lysine 27 trimethylation (H3K27me3) play a role in repressing transcription in eukaryotes. In contrast, histone acetylation (H3K9ac) and H3K4me3 have been inevitably linked to the stimulation of gene expression, which significantly influences plant development and plays a role in plant responses to biotic and abiotic stresses. To our knowledge this the first multiclass classifier for predicting histone modification in plants. <doi:10.1186/s12864-019-5489-4>.
How to cite:
Dipro Sinha (2024). OpEnHiMR: Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice. R package version 0.1.1, https://cran.r-project.org/web/packages/OpEnHiMR. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-05-26 19:30)
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Complete documentation for OpEnHiMR
Functions, R codes and Examples using the OpEnHiMR R package
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