{"id":25297629,"url":"https://github.com/mariomarroquim/eplogic","last_synced_at":"2025-11-11T20:24:49.790Z","repository":{"id":56132894,"uuid":"236591645","full_name":"mariomarroquim/eplogic","owner":"mariomarroquim","description":"Scripts for Anti-HLA antibody target prediction via machine learning","archived":false,"fork":false,"pushed_at":"2021-06-02T19:27:29.000Z","size":2260,"stargazers_count":3,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-13T03:54:17.731Z","etag":null,"topics":["cross-validation","hla-eplets","hla-matching","imbalanced-data","immunoinformatics","immunology","machine-learning","scikit-learn","single-antigen-beads"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mariomarroquim.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-01-27T20:49:29.000Z","updated_at":"2023-03-11T20:38:57.000Z","dependencies_parsed_at":"2022-08-15T13:20:47.463Z","dependency_job_id":null,"html_url":"https://github.com/mariomarroquim/eplogic","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mariomarroquim%2Feplogic","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mariomarroquim%2Feplogic/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mariomarroquim%2Feplogic/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mariomarroquim%2Feplogic/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mariomarroquim","download_url":"https://codeload.github.com/mariomarroquim/eplogic/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247557802,"owners_count":20958047,"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","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":["cross-validation","hla-eplets","hla-matching","imbalanced-data","immunoinformatics","immunology","machine-learning","scikit-learn","single-antigen-beads"],"created_at":"2025-02-13T03:54:21.588Z","updated_at":"2025-11-11T20:24:49.759Z","avatar_url":"https://github.com/mariomarroquim.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"EpLogic\n=======\n\nScripts for Anti-HLA antibody target prediction via machine learning.\n\nDescription\n-----------\nThese datasets comprise mismatched eplets from HLA alleles tested in single antigen panels of patients waiting for a solid organ transplantation. The experiments described here have the aim of classifying each eplet/panel/patient as reactive or non-reactive. Tip: reactive eplets usually have greater MFI values.\n\nExperiments\n-----------\n\n* Simple train/test validation. 89% accuracy and 88% AUC-ROC.\n* Cross-validation. 88% accuracy and 92% AUC-ROC.\n* Cross-validation \u0026 feature selection. 89% accuracy and 94% AUC-ROC.\n* Cross-validation \u0026 feature selection \u0026 hyperparameter tuning. 91% accuracy and 94% AUC-ROC.\n\nSupport\n-------\n\nYou can contact me at mariomarroquim@gmail.com.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmariomarroquim%2Feplogic","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmariomarroquim%2Feplogic","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmariomarroquim%2Feplogic/lists"}