{"action":"opened","issue":{"url":"https://api.github.com/repos/TASBE/TASBEFlowAnalytics/issues/359","repository_url":"https://api.github.com/repos/TASBE/TASBEFlowAnalytics","labels_url":"https://api.github.com/repos/TASBE/TASBEFlowAnalytics/issues/359/labels{/name}","comments_url":"https://api.github.com/repos/TASBE/TASBEFlowAnalytics/issues/359/comments","events_url":"https://api.github.com/repos/TASBE/TASBEFlowAnalytics/issues/359/events","html_url":"https://github.com/TASBE/TASBEFlowAnalytics/issues/359","id":378853340,"node_id":"MDU6SXNzdWUzNzg4NTMzNDA=","number":359,"title":"Warn when fraction of gated particles changes significantly","user":{"login":"jakebeal","id":10675899,"node_id":"MDQ6VXNlcjEwNjc1ODk5","avatar_url":"https://avatars3.githubusercontent.com/u/10675899?v=4","gravatar_id":"","url":"https://api.github.com/users/jakebeal","html_url":"https://github.com/jakebeal","followers_url":"https://api.github.com/users/jakebeal/followers","following_url":"https://api.github.com/users/jakebeal/following{/other_user}","gists_url":"https://api.github.com/users/jakebeal/gists{/gist_id}","starred_url":"https://api.github.com/users/jakebeal/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jakebeal/subscriptions","organizations_url":"https://api.github.com/users/jakebeal/orgs","repos_url":"https://api.github.com/users/jakebeal/repos","events_url":"https://api.github.com/users/jakebeal/events{/privacy}","received_events_url":"https://api.github.com/users/jakebeal/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-11-08T18:06:55Z","updated_at":"2018-11-08T18:06:55Z","closed_at":null,"author_association":"NONE","body":"We already warn when the fraction of gated particles is too low. We should also do cross-sample analysis to warn when some samples have a fraction of gated particles that is very different from others.  \r\n\r\nPerhaps look at the median fraction gated, then warn for every sample more than a certain percent above or below that level? (Probably default to 10% variation)."}}
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