{ "_id": "6a226bd6cd65a98ecbd46dc6", "Package": "lfproQC", "Type": "Package", "Title": "Quality Control for Label-Free Proteomics Expression Data", "Version": "1.4.3", "Authors@R": "c(person(\"Kabilan\", \"S\", role = c(\"aut\", \"cre\"), email = \"kabilan151414@gmail.com\"), person(\"Dr\", \"Shashi Bhushan Lal\", role = c(\"aut\", \"ths\"), email = \"sb.lal@icar.gov.in\"), person(\"Dr\", \"Sudhir Srivastava\", role = c(\"aut\", \"ths\"), email = \"Sudhir.Srivastava@icar.gov.in\"), person(\"Dr\", \"Krishna Kumar Chaturvedi\", role = c(\"ths\"), email = \"kk.chaturvedi@icar.gov.in\" ), person(\"Dr\", \"Yasin Jeshima K\", role = c(\"ths\"), email = \"yasinlab1.icar@gmail.com\"), person(\"Dr\", \"Ramasubramanian V\", role = c(\"ths\"), email = \"R.Subramanian@icar.gov.in\"), person(\"Dr\", \"Dwijesh Chandra Mishra\", role = c(\"ths\"), email = \"dwij.mishra@gmail.com\"), person(\"Dr\", \"Girish Kumar Jha\", role = c(\"ctb\"), email = \"girish.jha@icar.gov.in\"), person(\"Dr\", \"Sharanbasappa\", role = c(\"ctb\"), email = \"smadival509@gmail.com\"))", "Maintainer": "Kabilan S ", "Description": "Label-free bottom-up proteomics expression data is often\naffected by data heterogeneity and missing values.\nNormalization and missing value imputation are commonly used\ntechniques to address these issues and make the dataset\nsuitable for further downstream analysis. This package provides\nan optimal combination of normalization and imputation methods\nfor the dataset. The package utilizes three normalization\nmethods and three imputation methods.The statistical evaluation\nmeasures named pooled co-efficient of variance, pooled estimate\nof variance and pooled median absolute deviation are used for\nselecting the best combination of normalization and imputation\nmethod for the given dataset. The user can also visualize the\nresults by using various plots available in this package. The\nuser can also perform the differential expression analysis\nbetween two sample groups with the function included in this\npackage. The chosen three normalization methods, three\nimputation methods and three evaluation measures were chosen\nfor this study based on the research papers published by\nVälikangas et al. (2016) , Jin et al.\n(2021) and Srivastava et al.\n(2023) .This work has\npublished by Sakthivel et al. (2025)\n.", "License": "GPL-3", "URL": "https://github.com/kabilansbio/lfproQC,\nhttps://dabiniasri.shinyapps.io/lfproQC,\nhttps://doi.org/10.1021/acs.jproteome.4c00552", "BugReports": "https://github.com/kabilansbio/lfproQC/issues", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-05 06:21:10 UTC", "User": "root" }, "Author": "Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr\nSudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi\n[ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr\nDwijesh Chandra Mishra [ths], Dr Girish Kumar Jha [ctb], Dr\nSharanbasappa [ctb]", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev\nzlib1g-dev", "Repository": "https://kabilansbio.r-universe.dev", "Date/Publication": "2026-05-06 11:48:32 UTC", "RemoteUrl": "https://github.com/kabilansbio/lfproqc", "RemoteRef": "HEAD", "RemoteSha": 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