{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"pseudo_gmm","owner":"Oncostat","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Stan","color":"#b2011d"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-19T13:30:10.690Z"}},{"type":"Public","name":"oncostat.github.io","owner":"Oncostat","isFork":false,"description":"Oncostat website: <a href=\"https://oncostat.github.io/\" rel=\"nofollow\">https://oncostat.github.io/</a>","allTopics":[],"primaryLanguage":{"name":"SCSS","color":"#c6538c"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-07T13:10:13.689Z"}},{"type":"Public","name":"Adaptive-lasso-for-favoring-the-hierarchical-constraint-","owner":"Oncostat","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-30T16:35:21.260Z"}},{"type":"Public","name":"surrosurv","owner":"Oncostat","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-18T13:09:06.443Z"}},{"type":"Public","name":"CustOmics","owner":"Oncostat","isFork":true,"description":"A deep-learning framework for multi-omics integration","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-08T09:49:34.733Z"}},{"type":"Public","name":"EDCimport","owner":"Oncostat","isFork":true,"description":"Import data from EDC softwares","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-01T10:24:14.703Z"}},{"type":"Public","name":"crosstable","owner":"Oncostat","isFork":true,"description":"Easy and thorough description of datasets ","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":9,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-28T18:18:16.177Z"}},{"type":"Public","name":"nih.joinpoint","owner":"Oncostat","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-15T09:58:29.525Z"}},{"type":"Public","name":"Hyper-adaC","owner":"Oncostat","isFork":true,"description":"Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-28T15:35:18.237Z"}},{"type":"Public","name":"isgICA","owner":"Oncostat","isFork":false,"description":"R code - Infinite sparse graphical independent component analysis (Variational Inference)","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-02T12:38:22.070Z"}},{"type":"Public","name":"SisgICA","owner":"Oncostat","isFork":false,"description":"R code - Survival infinite sparse graphical Independent Component Analysis (Variational Inference)","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-02T12:29:35.760Z"}},{"type":"Public","name":"Unmeasures_nnet","owner":"Oncostat","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-28T12:27:48.163Z"}},{"type":"Public","name":"surrosurv_bak","owner":"Oncostat","isFork":true,"description":"An R Package for the Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-25T09:01:43.717Z"}},{"type":"Public","name":"AdaptiveLasso_weighting","owner":"Oncostat","isFork":false,"description":"Source code for \"Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models\"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-02-02T17:04:14.193Z"}},{"type":"Public","name":"INSEE_DC","owner":"Oncostat","isFork":false,"description":"Chaîner une base de données hospitalière avec les données de mortalité INSEE","allTopics":[],"primaryLanguage":{"name":"SAS","color":"#B34936"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-01-17T10:53:36.326Z"}},{"type":"Public","name":"DTLHC","owner":"Oncostat","isFork":false,"description":"Drop the losers with historical control group","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":2,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-08-02T09:19:04.289Z"}},{"type":"Public","name":"One_step_frequentitst_IPD_NMA","owner":"Oncostat","isFork":false,"description":"Simulation study of IPD based (Mixed Effect Poisson) and AD-based (Netmeta / Metaregression) models for Network Meta analysis","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-03-30T14:22:12.203Z"}},{"type":"Public","name":"R_notebooks","owner":"Oncostat","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-11-04T12:08:37.218Z"}},{"type":"Public","name":"clustRstab","owner":"Oncostat","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-09-28T12:01:50.853Z"}},{"type":"Public","name":"biospear","owner":"Oncostat","isFork":false,"description":"Biomarker selection in penalized regression models","allTopics":["lasso","r-package","cox-regression","prediction-model","penalized-regression","high-dimensional"],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":1,"starsCount":3,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-04-17T18:30:20.759Z"}},{"type":"Public","name":"Group-sequential-adaptive-designs-in-series-of-time-to-event-randomized-trials-in-rare-diseases","owner":"Oncostat","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-06-09T08:05:35.632Z"}},{"type":"Public","name":"CRM2dim","owner":"Oncostat","isFork":false,"description":"A SAS Macro to Implement the Dual-Agent Bayesian Continual Reassessment Method","allTopics":[],"primaryLanguage":{"name":"SAS","color":"#B34936"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-02-12T10:07:22.408Z"}},{"type":"Public","name":"POP1","owner":"Oncostat","isFork":false,"description":"R and Stan codes for mixed effect continuation ratio model","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-01-15T14:13:11.474Z"}},{"type":"Public","name":"PrognosTILs","owner":"Oncostat","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-11-02T09:34:43.226Z"}},{"type":"Public","name":"TTPratio","owner":"Oncostat","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-01-08T15:54:24.082Z"}},{"type":"Public","name":"BenchmarkNCVTools","owner":"Oncostat","isFork":false,"description":" Pipeline to compare the performance of different tools for the non-coding variant scoring ","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":1,"starsCount":4,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-12-07T14:39:25.128Z"}},{"type":"Public","name":"predictionPenalized","owner":"Oncostat","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-10-06T12:10:01.592Z"}},{"type":"Public","name":"parfm","owner":"Oncostat","isFork":true,"description":"Parametric Frailty Models in R","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-06-07T13:26:45.117Z"}}],"repositoryCount":28,"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":"Oncostat repositories"}