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sysAgNPs  

Systematic Quantification of AgNPs to Unleash their Potential for Applicability
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sysAgNPs", "1.0.0")



Attach the package and use:
library("sysAgNPs")
Maintained by
Xiting Wang
[Scholar Profile | Author Map]
First Published: 2025-01-20
Latest Update: 2025-01-20
Description:
There is variation across AgNPs due to differences in characterization techniques and testing metrics employed in studies. To address this problem, we have developed a systematic evaluation framework called 'sysAgNPs'. Within this framework, Distribution Entropy (DE) is utilized to measure the uncertainty offeature categories of AgNPs, Proclivity Entropy (PE) assesses the preference of these categories, and Combination Entropy (CE) quantifies the uncertainty of feature combinations of AgNPs. Additionally, a Markov chain model is employed to examine the relationships among the sub-features of AgNPs and to determine a Transition Score (TS) scoring standard that is based on steady-state probabilities. The 'sysAgNPs' framework provides metrics for evaluating AgNPs, which helps to unravel their complexity and facilitates effective comparisons among different AgNPs, thereby advancing the scientific research and application of these AgNPs.
How to cite:
Xiting Wang (2025). sysAgNPs: Systematic Quantification of AgNPs to Unleash their Potential for Applicability. R package version 1.0.0, https://cran.r-project.org/web/packages/sysAgNPs. Accessed 17 Feb. 2025.
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