{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"scTM","owner":"JinmiaoChenLab","isFork":false,"description":"scTM: A package for topic modelling in transcriptomics data","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-01T15:13:54.754Z"}},{"type":"Public","name":"SpatialGlue_tutorials","owner":"JinmiaoChenLab","isFork":false,"description":"The tutorial is to show how to apply SpatialGlue to integrate spatial multi-omics data to decipher tissue heterogeneity.","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-25T13:36:07.853Z"}},{"type":"Public","name":"SpatialGlue_3M","owner":"JinmiaoChenLab","isFork":false,"description":"Extended version of SpatialGlue for integration of spatial triplet modality data.","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-25T09:48:22.522Z"}},{"type":"Public","name":"GraphST","owner":"JinmiaoChenLab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":23,"starsCount":74,"forksCount":7,"license":"GNU Affero General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-19T03:01:34.922Z"}},{"type":"Public","name":"SpatialGlue","owner":"JinmiaoChenLab","isFork":false,"description":"SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":1,"forksCount":2,"license":"GNU Affero General Public License v3.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,42,25,0,2,0,0,0,0,0,0,0,0,9,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-08T09:52:29.736Z"}},{"type":"Public","name":"scGUMI","owner":"JinmiaoChenLab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-15T02:11:45.718Z"}},{"type":"Public","name":"SEDR","owner":"JinmiaoChenLab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":5,"starsCount":35,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-10T05:35:11.764Z"}},{"type":"Public","name":"DISCOtoolkit_py","owner":"JinmiaoChenLab","isFork":false,"description":"Python version of DISCO toolkit","topicNames":["rna-seq","singlecell","atlas-data"],"topicsNotShown":0,"allTopics":["rna-seq","singlecell","atlas-data"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":6,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-07-06T09:00:12.407Z"}},{"type":"Public","name":"GraphST_Tutorials","owner":"JinmiaoChenLab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":2,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-08T06:01:36.054Z"}},{"type":"Public","name":"MCGC","owner":"JinmiaoChenLab","isFork":true,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":9,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-12-10T07:40:55.951Z"}},{"type":"Public","name":"pyGAT","owner":"JinmiaoChenLab","isFork":true,"description":"Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":686,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-08-15T04:37:46.984Z"}}],"repositoryCount":11,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}