{"id":19434413,"url":"https://github.com/likelet/vsolassobag","last_synced_at":"2025-10-09T06:33:27.993Z","repository":{"id":32580868,"uuid":"132580511","full_name":"likelet/VSOLassoBag","owner":"likelet","description":"A variable-selection oriented LASSO bagging algorithm for biomarker development in omic-based translational research","archived":false,"fork":false,"pushed_at":"2023-07-07T08:49:48.000Z","size":12848,"stargazers_count":18,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-09-25T10:36:30.227Z","etag":null,"topics":["algorithm"],"latest_commit_sha":null,"homepage":"https://likelet.github.io/VSOLassoBag/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/likelet.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-05-08T08:45:31.000Z","updated_at":"2024-01-18T13:43:12.000Z","dependencies_parsed_at":"2024-11-10T14:46:40.782Z","dependency_job_id":"2474ceba-4044-4b91-96ce-30de9f33a499","html_url":"https://github.com/likelet/VSOLassoBag","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/likelet/VSOLassoBag","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/likelet%2FVSOLassoBag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/likelet%2FVSOLassoBag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/likelet%2FVSOLassoBag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/likelet%2FVSOLassoBag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/likelet","download_url":"https://codeload.github.com/likelet/VSOLassoBag/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/likelet%2FVSOLassoBag/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279000832,"owners_count":26082950,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-09T02:00:07.460Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["algorithm"],"created_at":"2024-11-10T14:46:21.654Z","updated_at":"2025-10-09T06:33:27.978Z","avatar_url":"https://github.com/likelet.png","language":"R","readme":"\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n# VSOLassoBag\n[![](https://img.shields.io/badge/DOI%3A%20-10.1016%2Fj.jgg.2022.12.005-blue)](https://pubmed.ncbi.nlm.nih.gov/36608930/)\n\n[VSOLassoBag](https://github.com/likelet/LassoBag) is a variable-selection oriented\nLASSO bagging algorithm for **biomarker development in omic-based translational**\n**research**, providing a bagging LASSO framework\nfor selecting important variables from multiple\nmodels. A main application of this package is to screen limitted number\nof variables that are less dependent to train dataset. Basically, this\npackages was initially deveploped for adjust LASSO selected results from\nbootstrapped sample set. Variables with the highest frequency among the\nseveral selected result were considered as stable variables for differ\nsample set. However, it is usually hard to determine the cutoff in terms\nof frequency when applyed in a real dataset. In this package, we\nintroduced several methods, namely (1) curve elbow point\ndetection, (2) parametrical statistical test and (3) permutation test to\nhelp determine the cut-off point for variables selection.\n\n## Installation\n\nYou can install the developed version of VSOLassoBag from github:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"likelet/VSOLassoBag\")\n```\n`VSOLassoBag` has been released on CRAN, you can also install released version by :\n\n``` r\ninstall.packages(\"VSOLassoBag\")\n```\n\n## Documentation\n\nA detailed documentation of VSOLassoBag could be found at [here](https://seqworld.com/VSOLassoBag/)\n\n## Authors\n\nJiaqi Liang and Chaoye Wang from SYSU\n\n## Supervisor\n\nQi Zhao from SYSUCC, zhaoqi@sysucc.org.cn\n\n## License \nGNU General Public License V3\n\n## Acknowledgement\nWe appreciate help from Yu Sun @bioinformatist, he provide many valuable code assisstance as well as disscusstion to the project. \n\n## Citation \nLiang J, Wang C, Zhang D, Xie Y, Zeng Y, Li T, Zuo Z, Ren J, Zhao Q. VSOLassoBag: a variable-selection oriented LASSO bagging algorithm for biomarker discovery in omic-based translational research. J Genet Genomics. 2023 Jan 3:S1673-8527(22)00285-5. doi: 10.1016/j.jgg.2022.12.005. Epub ahead of print. PMID: 36608930. [link](https://pubmed.ncbi.nlm.nih.gov/36608930/)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flikelet%2Fvsolassobag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flikelet%2Fvsolassobag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flikelet%2Fvsolassobag/lists"}