{"id":13470111,"url":"https://github.com/tare/GPMicrobiome","last_synced_at":"2025-03-26T09:32:15.735Z","repository":{"id":108040728,"uuid":"56858901","full_name":"tare/GPMicrobiome","owner":"tare","description":"A novel probabilistic approach to explicitly model overdispersion and sampling zeros in 16S rRNA sequencing data by considering the temporal correlation between nearby time points using Gaussian Processes","archived":false,"fork":false,"pushed_at":"2025-03-15T12:57:28.000Z","size":798,"stargazers_count":7,"open_issues_count":2,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-15T13:35:45.018Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","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/tare.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":"2016-04-22T13:53:41.000Z","updated_at":"2025-01-03T23:18:37.000Z","dependencies_parsed_at":"2023-12-23T21:28:39.732Z","dependency_job_id":"ceca4a2d-84a0-48e8-85cd-3aeb594128b3","html_url":"https://github.com/tare/GPMicrobiome","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tare%2FGPMicrobiome","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tare%2FGPMicrobiome/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tare%2FGPMicrobiome/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tare%2FGPMicrobiome/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tare","download_url":"https://codeload.github.com/tare/GPMicrobiome/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245626113,"owners_count":20646296,"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":[],"created_at":"2024-07-31T16:00:23.323Z","updated_at":"2025-03-26T09:32:15.181Z","avatar_url":"https://github.com/tare.png","language":"Python","funding_links":[],"categories":["Software packages and methods"],"sub_categories":["Stochastic/Probabilistic Modeling"],"readme":"# GPMicrobiome\n\nTemporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing.\n\n## Installation\n\n### PyPI\n\n```console\n$ pip install gpmicrobiome\n```\n\n### GitHub\n\nInstall the version from the main branch as follows\n\n```console\n$ pip install git+https://github.com/tare/GPMicrobiome.git\n```\n\n## Usage\n\nPlease see [this](examples/basic_usage.ipynb) tutorial.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftare%2FGPMicrobiome","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftare%2FGPMicrobiome","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftare%2FGPMicrobiome/lists"}