{"id":18046631,"url":"https://github.com/ltla/hvgdetection2018","last_synced_at":"2026-01-24T10:34:36.703Z","repository":{"id":82716792,"uuid":"155564020","full_name":"LTLA/HVGDetection2018","owner":"LTLA","description":"Justification for the variance modelling and HVG detection methods in scran.","archived":false,"fork":false,"pushed_at":"2019-08-05T01:51:52.000Z","size":27,"stargazers_count":6,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-05T04:25:59.072Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"TeX","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/LTLA.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}},"created_at":"2018-10-31T13:41:32.000Z","updated_at":"2021-06-05T18:27:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"e09a0da4-5fc5-4c17-a8dd-fa2af8a4179a","html_url":"https://github.com/LTLA/HVGDetection2018","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/LTLA/HVGDetection2018","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2FHVGDetection2018","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2FHVGDetection2018/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2FHVGDetection2018/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2FHVGDetection2018/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LTLA","download_url":"https://codeload.github.com/LTLA/HVGDetection2018/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2FHVGDetection2018/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28725374,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-24T10:24:43.181Z","status":"ssl_error","status_checked_at":"2026-01-24T10:24:36.112Z","response_time":89,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":[],"created_at":"2024-10-30T19:08:16.005Z","updated_at":"2026-01-24T10:34:36.686Z","avatar_url":"https://github.com/LTLA.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Description of the HVG machinery in _scran_\n\nThis directory contains some files describing the HVG detection machinery in _scran_.\nIn `theory/`:\n\n- `description.tex` focuses on the theoretical basis behind `trendVar` and `decomposeVar`.\n- `comparison.tex` considers the differences between the possible HVG detection methods in _scran_.\n\nIn `real/`:\n\n- `fitTrendVar_test.Rmd` tests the behaviour of the `fitTrendVar()` on a range of scenarios.\n- `fitTrendCV2_test.Rmd` tests the behaviour of the `fitTrendCV2()` on a range of scenarios.\n\nIn `simulations/`:\n\n- `power` contains simulation scripts to compare the performance of `decomposeVar` with `technicalCV2` and `improvedCV2` for detecting HVGs.\nEach simulation script describes a different type of variability, though this is not particularly important for gene-wise testing.\n- `alpha` assesses the type I error rate for the tests in `decomposeVar`, `technicalCV2` and `improvedCV2`.\n- `filter` examines the motivation for the default filter threshold in `trendVar`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fltla%2Fhvgdetection2018","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fltla%2Fhvgdetection2018","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fltla%2Fhvgdetection2018/lists"}