{"id":31556917,"url":"https://github.com/mikelamiki/thesis_gender_bias","last_synced_at":"2026-08-04T23:31:27.500Z","repository":{"id":316265291,"uuid":"1062671569","full_name":"MikelaMiki/Thesis_Gender_Bias","owner":"MikelaMiki","description":"This Repo contains all of the files and the code used in my undergraduate thesis: Gender Bias in Clinical Studies: A Statistical Approach","archived":false,"fork":false,"pushed_at":"2025-09-23T16:04:45.000Z","size":5670,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-23T17:22:58.814Z","etag":null,"topics":["applied","applied-statistics","contrast-matrix","design-matrix","differentially-expressed-genes","empirical-bayes","gender-bias","gene-expression","geo-datasets","limma","linear","mean-reference-model","means-model","medical-research","microarray-data-analysis","r","rstudio","statistical-bias","t-test","thesis"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MikelaMiki.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-23T15:06:17.000Z","updated_at":"2025-09-23T16:04:48.000Z","dependencies_parsed_at":"2025-09-23T17:33:44.428Z","dependency_job_id":null,"html_url":"https://github.com/MikelaMiki/Thesis_Gender_Bias","commit_stats":null,"previous_names":["mikelamiki/thesis_gender_bias"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/MikelaMiki/Thesis_Gender_Bias","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MikelaMiki%2FThesis_Gender_Bias","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MikelaMiki%2FThesis_Gender_Bias/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MikelaMiki%2FThesis_Gender_Bias/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MikelaMiki%2FThesis_Gender_Bias/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MikelaMiki","download_url":"https://codeload.github.com/MikelaMiki/Thesis_Gender_Bias/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MikelaMiki%2FThesis_Gender_Bias/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278386499,"owners_count":25978184,"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":"2025-10-04T02:00:05.491Z","response_time":63,"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":["applied","applied-statistics","contrast-matrix","design-matrix","differentially-expressed-genes","empirical-bayes","gender-bias","gene-expression","geo-datasets","limma","linear","mean-reference-model","means-model","medical-research","microarray-data-analysis","r","rstudio","statistical-bias","t-test","thesis"],"created_at":"2025-10-04T23:19:42.707Z","updated_at":"2025-10-04T23:19:46.658Z","avatar_url":"https://github.com/MikelaMiki.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Thesis_Gender_Bias\n\nThis Repo contains all of the files, images, datasets and code used in my undergraduate thesis: _**Gender Bias in Clinical Studies: A Statistical Approach**_.\n\n**Institution:** University of Crete, Deparment of Mathematics and Applied Mathematics\n\n**Supervisor:** Supervisor: Pavlos Pavlidis, Associate Professor, Department of Biology UoC and Affiliated Researcher, ICS-FORTH\n\n_Heraklion 2025_\n\n\n**Abstract:**\n\n​\nThis thesis aims to investigate the impact of gender bias in clinical research, with a\nfocus on differences in gene expression. The historical exclusion of females in clinical\ntrials and drug testing has led to significant disparities in healthcare outcomes. To explore\nthis issue, this thesis statistically analyzes gender-based differences in gene expression\nacross various conditions. A few basic theoretical concepts are explained before presenting\nthe methodology used. Using datasets from the GEO database, hypothesis testing is\nconducted separately for each dataset. Linear models, applied through the limma package\nin R, identify significantly differentially expressed genes between genders. The results are\npresented and visualized, highlighting the extent of gender-specific variations in gene\nexpression.\n\nKeywords: Medical research, gender bias, gene expression, differentially expressed gene\n(DEG), statistical bias, microarray, t-test, linear model, limma, design matrix, contrast\nmatrix, means model, mean-reference model, factor, level, empirical Bayes, GEO datasets\n\n**Datasets:** Below is the list with all of the GEO Datasets used and links to them. Those were not uploaded onto this repositorie due to the size limitations of GitHub.\n\nhttps://docs.google.com/spreadsheets/d/1zdT-pYzlnM5JREDoc6iLs5po7ZMVYkvogP1svIat6ws/edit?usp=sharing\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmikelamiki%2Fthesis_gender_bias","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmikelamiki%2Fthesis_gender_bias","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmikelamiki%2Fthesis_gender_bias/lists"}