{"id":180,"date":"2020-07-01T18:18:29","date_gmt":"2020-07-01T10:18:29","guid":{"rendered":"https:\/\/sysmed-net.nctu.edu.tw\/?page_id=180"},"modified":"2026-03-30T16:06:53","modified_gmt":"2026-03-30T08:06:53","slug":"tools-and-services","status":"publish","type":"page","link":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/tools-and-services\/","title":{"rendered":"Tools and Services"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\" style=\"font-size:40px\">Web service<\/h3>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p style=\"font-size:25px\"><strong>Gscore<\/strong><gwmw style=\"display:none;\"><\/gwmw><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"has-medium-font-size\"><strong>Gene set correlation enrichment analysis for interpreting<br>and annotating gene expression profiles<\/strong><br><a href=\"https:\/\/github.com\/SysMednet\/GscorePy\" data-type=\"link\" data-id=\"https:\/\/github.com\/SysMednet\/Gscore\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/SysMednet\/GscorePy<\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><a href=\"https:\/\/gscore.ibsb.nycu.edu.tw\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/gscore.ibsb.nycu.edu.tw\/<\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Reference: <a href=\"https:\/\/academic.oup.com\/nar\/article\/52\/3\/e17\/7473303\" data-type=\"link\" data-id=\"https:\/\/academic.oup.com\/nar\/article\/52\/3\/e17\/7473303\">Nucleic Acids Research, 2024 Feb;52(3)  , e17<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p style=\"font-size:25px\"><strong>SINUM<\/strong><gwmw style=\"display:none;\"><\/gwmw><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"has-medium-font-size\"><strong>Inference of single-cell network usingmutual information for scRNA-seq data analysis<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><a href=\"https:\/\/github.com\/SysMednet\/SINUM\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/SysMednet\/SINUM<\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Reference: <a href=\"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-024-05895-3\" data-type=\"link\" data-id=\"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-024-05895-3\">BMC Bioinformatics, 2024 Sep;25:&nbsp;292<\/a>&nbsp;<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p style=\"font-size:25px\"><strong>SWEET<\/strong><gwmw style=\"display:none;\"><\/gwmw><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"has-medium-font-size\"><strong>A<\/strong> <strong>single-sample network inference method for deciphering individual features in disease<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><a href=\"https:\/\/github.com\/SysMednet\/SWEET\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/SysMednet\/SWEET<\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Reference: <a href=\"https:\/\/academic.oup.com\/bib\/article\/24\/2\/bbad032\/7017366\" data-type=\"link\" data-id=\"https:\/\/academic.oup.com\/bib\/article\/24\/2\/bbad032\/7017366\">Briefings in Bioinformatics. 2023 Mar;24(2): bbad032<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p style=\"font-size:25px\"><strong>CaMPNets<\/strong><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"has-medium-font-size\"><strong>Membrane protein-regulated networks across human cancers<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><a href=\"http:\/\/campnets.life.nctu.edu.tw\/\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/campnets.life.nctu.edu.tw\/<\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Reference: <a href=\"https:\/\/www.nature.com\/articles\/s41467-019-10920-8\" data-type=\"link\" data-id=\"https:\/\/www.nature.com\/articles\/s41467-019-10920-8\">Nat Commun. 2019 Jul 16;10(1): 3131<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p style=\"font-size:25px\"><strong>MoNetFamily<\/strong><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"has-medium-font-size\"><strong>A web server to infer homologous modules and module-module interaction networks in vertebrates<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><a href=\"http:\/\/monetfamily.life.nctu.edu.tw\/\">http:\/\/monetfamily.life.nctu.edu.tw\/<\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Reference: <a href=\"https:\/\/academic.oup.com\/nar\/article\/40\/W1\/W263\/1751472?login=true\" data-type=\"link\" data-id=\"https:\/\/academic.oup.com\/nar\/article\/40\/W1\/W263\/1751472?login=true\">Nucleic Acids Res. 2012 Jul;40 (Web Server issue): W263-70<\/a><a href=\"\"><\/a><\/p>\n\n\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Web service Gscore Gene set correlation enrichment anal &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-180","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/wp-json\/wp\/v2\/pages\/180","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/wp-json\/wp\/v2\/comments?post=180"}],"version-history":[{"count":39,"href":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/wp-json\/wp\/v2\/pages\/180\/revisions"}],"predecessor-version":[{"id":4417,"href":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/wp-json\/wp\/v2\/pages\/180\/revisions\/4417"}],"wp:attachment":[{"href":"https:\/\/sysmed-net.lab.nycu.edu.tw\/index.php\/wp-json\/wp\/v2\/media?parent=180"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}