Other packages > Find by keyword >

lfproQC  

Quality Control for Label-Free Proteomics Expression Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lfproQC", "1.4.3")



Attach the package and use:
library("lfproQC")
Maintained by
Kabilan S
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-23
Latest Update: 2025-07-02
Description:
Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expressionanalysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluation measures were chosen for this study based on the research papers published by Välikangas et al. (2016) <doi:10.1093/bib/bbw095>, Jin et al. (2021) <doi:10.1038/s41598-021-81279-4> and Srivastava et al. (2023) <doi:10.2174/1574893618666230223150253>.
How to cite:
Kabilan S (2024). lfproQC: Quality Control for Label-Free Proteomics Expression Data. R package version 1.4.3, https://cran.r-project.org/web/packages/lfproQC. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:52), 0.1.0 (2024-05-23 18:10), 0.2.0 (2024-09-06 15:00), 0.3.0 (2024-09-13 11:50), 1.3.0 (2024-09-30 09:20), 1.4.0 (2024-10-10 15:10), 1.4.1 (2025-07-03 00:10), 1.4.2 (2026-05-01 14:10)
Other packages that cited lfproQC R package
View lfproQC citation profile
Other R packages that lfproQC depends, imports, suggests or enhances
Complete documentation for lfproQC
Functions, R codes and Examples using the lfproQC R package
Full lfproQC package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA