{"id":3763,"date":"2025-02-10T11:20:39","date_gmt":"2025-02-10T18:20:39","guid":{"rendered":"https:\/\/in.nau.edu\/arc\/?page_id=3763"},"modified":"2025-02-10T11:20:39","modified_gmt":"2025-02-10T18:20:39","slug":"outcyte-2-0","status":"publish","type":"page","link":"https:\/\/in.nau.edu\/arc\/modules\/outcyte-2-0\/","title":{"rendered":"OutCyte 2.0"},"content":{"rendered":"<p style=\"text-align: left;\"><!-- shortcode-right-column -->\n<div class=\"shortcode-right-column\" >\n    <div class=\"shortcode-right-column__container\"><\/p>\n<p style=\"text-align: left;\"><!-- shortcode-contact -->\n<div class=\"shortcode-contact\">\n    <div class=\"contact-header\">\n        <h3>Contact Advanced Research Computing<\/h3>\n    <\/div>\n    <div class=\"contact-body\">\n                <a href=\"mailto:ask-arc@nau.edu\" aria-label=\"Contact Advanced Research Computing: Email Address\" title=\"Email Address\">\n            <div class=\"contact-icon-container\">\n                <i class=\"fas fa-envelope\" aria-hidden=\"true\"><\/i>\n                <span class=\"sr-only\">Email:<\/span>\n            <\/div>\n            <div class=\"contact-email\">ask-arc&#8203;@nau.edu<\/div>\n        <\/a>\n                    <\/div>\n<\/div>\n\n<\/p>\n<p style=\"text-align: left;\"><\/div>\n<\/div>\n<\/p>\n<h1>OutCyte 2.0<\/h1>\n<p><a href=\"https:\/\/github.com\/JaVanGri\/OutCyte-2.0\">OutCyte 2.0<\/a> is a tool for predicting various cellular location attributes which is forked from <a href=\"https:\/\/github.com\/linlinzhao\/outcyte\">OutCyte<\/a>.<\/p>\n<p>OutCyte 2.0 can be loaded with the following command:<br \/>\n<code>module load oc2<\/code><br \/>\nOr, if you would like to use it with Python 3.8, you can use:<br \/>\n<code>module load oc2-py3.8<\/code><\/p>\n<h2>Using OutCyte 2.0<\/h2>\n<p>In the <a href=\"https:\/\/github.com\/JaVanGri\/OutCyte-2.0\/blob\/main\/README.md\">OutCyte 2.0 instructions<\/a>, the software is ran by using Python to run the <span style=\"font-size: 16px; font-family: monospace; border: 1px solid; border-radius: 4px; padding: 0px 4px 0px; border-color: #BBBBBB;\" data-darkreader-inline-border-top=\"\" data-darkreader-inline-border-right=\"\" data-darkreader-inline-border-bottom=\"\" data-darkreader-inline-border-left=\"\">execute.py<\/span> script. However, on Monsoon, you can use the <span style=\"font-size: 16px; font-family: monospace; border: 1px solid; border-radius: 4px; padding: 0px 4px 0px; border-color: #BBBBBB;\" data-darkreader-inline-border-top=\"\" data-darkreader-inline-border-right=\"\" data-darkreader-inline-border-bottom=\"\" data-darkreader-inline-border-left=\"\">oc2<\/span> command instead:<br \/>\n<code>module load oc2<br \/>\noc2 --help<\/code><br \/>\nAdditionally, the <span style=\"font-size: 16px; font-family: monospace; border: 1px solid; border-radius: 4px; padding: 0px 4px 0px; border-color: #BBBBBB;\" data-darkreader-inline-border-top=\"\" data-darkreader-inline-border-right=\"\" data-darkreader-inline-border-bottom=\"\" data-darkreader-inline-border-left=\"\">retrain.py<\/span> script can be accessed with the <span style=\"font-size: 16px; font-family: monospace; border: 1px solid; border-radius: 4px; padding: 0px 4px 0px; border-color: #BBBBBB;\" data-darkreader-inline-border-top=\"\" data-darkreader-inline-border-right=\"\" data-darkreader-inline-border-bottom=\"\" data-darkreader-inline-border-left=\"\">oc2-retrain<\/span> command:<br \/>\n<code>module load oc2<br \/>\noc2-retrain --help<\/code><\/p>\n","protected":false},"excerpt":{"rendered":"<p>OutCyte 2.0 OutCyte 2.0 is a tool for predicting various cellular location attributes which is forked from OutCyte. OutCyte 2.0 can be loaded with the following command: module load oc2 Or, if you would like to use it with Python 3.8, you can use: module load oc2-py3.8 Using OutCyte 2.0 In the OutCyte 2.0 instructions, [&hellip;]<\/p>\n","protected":false},"author":2758,"featured_media":0,"parent":3759,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","ring_central_script_selection":"","footnotes":""},"class_list":["post-3763","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/pages\/3763","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/users\/2758"}],"replies":[{"embeddable":true,"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/comments?post=3763"}],"version-history":[{"count":5,"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/pages\/3763\/revisions"}],"predecessor-version":[{"id":3768,"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/pages\/3763\/revisions\/3768"}],"up":[{"embeddable":true,"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/pages\/3759"}],"wp:attachment":[{"href":"https:\/\/in.nau.edu\/arc\/wp-json\/wp\/v2\/media?parent=3763"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}