{"id":15906014,"url":"https://github.com/lucacappelletti94/keras_biological_gaps_sequences","last_synced_at":"2025-04-02T22:42:57.215Z","repository":{"id":62573960,"uuid":"244593498","full_name":"LucaCappelletti94/keras_biological_gaps_sequences","owner":"LucaCappelletti94","description":"Python package to generate on-hot encoded biological gaps to use for training and prediction.","archived":false,"fork":false,"pushed_at":"2020-03-29T21:12:24.000Z","size":69,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-08T13:13:52.651Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/LucaCappelletti94.png","metadata":{"files":{"readme":"README.rst","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}},"created_at":"2020-03-03T09:25:43.000Z","updated_at":"2020-03-29T21:12:26.000Z","dependencies_parsed_at":"2022-11-03T18:31:08.577Z","dependency_job_id":null,"html_url":"https://github.com/LucaCappelletti94/keras_biological_gaps_sequences","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/LucaCappelletti94%2Fkeras_biological_gaps_sequences","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LucaCappelletti94%2Fkeras_biological_gaps_sequences/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LucaCappelletti94%2Fkeras_biological_gaps_sequences/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LucaCappelletti94%2Fkeras_biological_gaps_sequences/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LucaCappelletti94","download_url":"https://codeload.github.com/LucaCappelletti94/keras_biological_gaps_sequences/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246905830,"owners_count":20852818,"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":"2024-10-06T13:20:33.672Z","updated_at":"2025-04-02T22:42:57.182Z","avatar_url":"https://github.com/LucaCappelletti94.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"keras_biological_gaps_sequencess\n=========================================================================================\n|travis| |sonar_quality| |sonar_maintainability| |codacy|\n|code_climate_maintainability| |pip| |downloads|\n\nPython package to generate on-hot encoded biological gaps to use for training and prediction.\n\nHow do I install this package?\n----------------------------------------------\nAs usual, just download it using pip:\n\n.. code:: shell\n\n    pip install keras_biological_gaps_sequencess\n\nTests Coverage\n----------------------------------------------\nSince some software handling coverages sometimes\nget slightly different results, here's three of them:\n\n|coveralls| |sonar_coverage| |code_climate_coverage|\n\nAvailable datasets\n-----------------------------------------------\nCurrently, there is only a dataset of gaps available\nwithin the package: the mapping of known gaps from hg19\nto hg38. In the future, we will be adding more mapping.\n\nUsage example\n-----------------------------------------------\nTo use the sequence you can do as follows:\n\n.. code:: Python\n\n    biological_gap_sequence = BiologicalGapsSequence(\n        source=\"hg19\",\n        target=\"hg38\",\n        source_window_size=1000,\n        target_window_size=1000,\n        batch_size=32\n    )\n\n    model = build_my_denoiser()\n    model.fit_generator(\n        biological_gap_sequence,\n        steps_per_epoch=biological_gap_sequence.steps_per_epoch,\n        epochs=2,\n        shuffle=True\n    )\n\n.. |travis| image:: https://travis-ci.org/LucaCappelletti94/keras_biological_gaps_sequencess.png\n   :target: https://travis-ci.org/LucaCappelletti94/keras_biological_gaps_sequencess\n   :alt: Travis CI build\n\n.. |sonar_quality| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_keras_biological_gaps_sequencess\u0026metric=alert_status\n    :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_keras_biological_gaps_sequencess\n    :alt: SonarCloud Quality\n\n.. |sonar_maintainability| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_keras_biological_gaps_sequencess\u0026metric=sqale_rating\n    :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_keras_biological_gaps_sequencess\n    :alt: SonarCloud Maintainability\n\n.. |sonar_coverage| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_keras_biological_gaps_sequencess\u0026metric=coverage\n    :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_keras_biological_gaps_sequencess\n    :alt: SonarCloud Coverage\n\n.. |coveralls| image:: https://coveralls.io/repos/github/LucaCappelletti94/keras_biological_gaps_sequencess/badge.svg?branch=master\n    :target: https://coveralls.io/github/LucaCappelletti94/keras_biological_gaps_sequencess?branch=master\n    :alt: Coveralls Coverage\n\n.. |pip| image:: https://badge.fury.io/py/keras-biological-gaps-sequence.svg\n    :target: https://badge.fury.io/py/keras-biological-gaps-sequence\n    :alt: Pypi project\n\n.. |downloads| image:: https://pepy.tech/badge/keras-biological-gaps-sequence\n    :target: https://pepy.tech/badge/keras-biological-gaps-sequence\n    :alt: Pypi total project downloads\n\n.. |codacy| image:: https://api.codacy.com/project/badge/Grade/90f25e6d3ab3448d9da0401f441dff79\n    :target: https://www.codacy.com/manual/LucaCappelletti94/keras_biological_gaps_sequencess?utm_source=github.com\u0026amp;utm_medium=referral\u0026amp;utm_content=LucaCappelletti94/keras_biological_gaps_sequencess\u0026amp;utm_campaign=Badge_Grade\n    :alt: Codacy Maintainability\n\n.. |code_climate_maintainability| image:: https://api.codeclimate.com/v1/badges/0bc73c94073503d4d54a/maintainability\n    :target: https://codeclimate.com/github/LucaCappelletti94/keras_biological_gaps_sequencess/maintainability\n    :alt: Maintainability\n\n.. |code_climate_coverage| image:: https://api.codeclimate.com/v1/badges/0bc73c94073503d4d54a/test_coverage\n    :target: https://codeclimate.com/github/LucaCappelletti94/keras_biological_gaps_sequencess/test_coverage\n    :alt: Code Climate Coverate\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flucacappelletti94%2Fkeras_biological_gaps_sequences","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flucacappelletti94%2Fkeras_biological_gaps_sequences","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flucacappelletti94%2Fkeras_biological_gaps_sequences/lists"}