{"id":7,"date":"2017-05-29T16:14:51","date_gmt":"2017-05-29T16:14:51","guid":{"rendered":"http:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/?page_id=7"},"modified":"2026-09-25T18:30:53","modified_gmt":"2026-09-25T18:30:53","slug":"home","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/","title":{"rendered":"Welcome to the Pei Wang Lab"},"content":{"rendered":"<div id=\"WEc490de3749\" class=\"BaseDiv RBoth OEWELabel OESK_WELabel_Default\"><\/div>\n<div class=\"BaseDiv RBoth OEWELabel OESK_WELabel_Default\">\n<hr \/>\n<\/div>\n<div id=\"WE1186953606\" class=\"BaseDiv RBoth OEWEText OESK_WEText_Default\">\n<div class=\"OESZ OESZ_DivContent OESZG_WE1186953606 \"><span class=\"ContentBox\">We are interested in developing statistical and computational methods to address scientific questions based on data from high throughput biology\/genetics experiments. \u00a0The ultimate goal is to enhance our understanding of cell activities and disease initiation\/progression to a system level by integrating information from diverse biological sources\u00a0(genetics\/genomics, proteomics, and phenotypes).<\/span><\/div>\n<div class=\"OESZ OESZ_DivContent OESZG_WE1186953606 \"><span class=\"ContentBox\">Towards this goal, efforts have been made to\u00a0properly model each individual type of data and to effciently characterize interactions among different biology molecules. These efforts all borrow strength from and contribute to the developments\u00a0of high dimensional inference.<\/span><\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<table style=\"width: 100%;border-collapse: collapse;border: none;margin: 20px 0\">\n<tbody>\n<tr style=\"vertical-align: bottom\"><!-- Item 1 --><\/p>\n<td style=\"width: 48%;vertical-align: bottom;padding: 10px;border: none\">\n<figure style=\"margin: 0;position: relative\"><a style=\"text-decoration: none;color: inherit\" href=\"https:\/\/www.cell.com\/cell-reports-medicine\/fulltext\/S2666-3791(26)00441-6\"><br \/>\n<img decoding=\"async\" style=\"width: 100%;height: auto;object-fit: cover;border-radius: 6px\" src=\"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-content\/uploads\/sites\/226\/2026\/09\/ga1_lrg-1.jpg\" alt=\"Proteogenomic analysis\" \/><br \/>\n<\/a><figcaption style=\"margin-top: 8px;font-size: 14px;text-align: center;color: #555\">Proteogenomic analysis of pediatric and AYA high-grade glioma reveals age-dependent biology, female-male differences, and kinase targets<\/figcaption><\/figure>\n<\/td>\n<p><!-- Item 2 --><\/p>\n<td style=\"width: 48%;vertical-align: bottom;padding: 10px;border: none\">\n<figure style=\"margin: 0;position: relative\"><a style=\"text-decoration: none;color: inherit\" href=\"https:\/\/academic.oup.com\/bib\/article\/26\/2\/bbaf085\/8068117\"><br \/>\n<img decoding=\"async\" style=\"width: 100%;height: auto;object-fit: cover;border-radius: 6px\" src=\"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-content\/uploads\/sites\/226\/2026\/09\/bbaf085f1.jpeg\" alt=\"Learning directed acyclic graphs\" \/><br \/>\n<\/a><figcaption style=\"margin-top: 8px;font-size: 14px;text-align: center;color: #555\">Learning directed acyclic graphs for ligands and receptors based on spatially resolved transcriptomic data of ovarian cancer<\/figcaption><\/figure>\n<\/td>\n<\/tr>\n<tr style=\"vertical-align: bottom\"><!-- Item 1 --><\/p>\n<td style=\"width: 48%;vertical-align: bottom;padding: 10px;border: none\">\n<figure style=\"margin: 0;position: relative\"><a style=\"text-decoration: none;color: inherit\" href=\"https:\/\/www.cell.com\/cell\/fulltext\/S0092-8674(24)00064-3\"><br \/>\n<img decoding=\"async\" style=\"width: 100%;height: auto;object-fit: cover;border-radius: 6px\" src=\"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-content\/uploads\/sites\/226\/2026\/09\/fx1_lrg.jpg\" alt=\"Proteogenomic analysis\" \/><br \/>\n<\/a><figcaption style=\"margin-top: 8px;font-size: 14px;text-align: center;color: #555\">Pan-cancer proteogenomics characterization of tumor immunity<\/figcaption><\/figure>\n<\/td>\n<p><!-- Item 2 --><\/p>\n<td style=\"width: 48%;vertical-align: bottom;padding: 10px;border: none\">\n<figure style=\"margin: 0;position: relative\"><a style=\"text-decoration: none;color: inherit\" href=\"https:\/\/www.frontiersin.org\/journals\/genetics\/articles\/10.3389\/fgene.2024.1322886\/full\"><br \/>\n<img decoding=\"async\" style=\"width: 100%;height: auto;object-fit: cover;border-radius: 6px\" src=\"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-content\/uploads\/sites\/226\/2026\/09\/fgene-15-1322886-g001.webp\" alt=\"RECCIPE\" \/><br \/>\n<\/a><figcaption style=\"margin-top: 8px;font-size: 14px;text-align: center;color: #555\">RECCIPE: A new framework assessing localized cell-cell interaction on gene expression in multicellular ST data<\/figcaption><\/figure>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>We are interested in developing statistical and computational methods to address scientific questions based on data from high throughput biology\/genetics experiments. \u00a0The ultimate goal is to enhance our understanding of cell activities and disease initiation\/progression to a system level by integrating information from diverse biological sources\u00a0(genetics\/genomics, proteomics, and phenotypes). Towards this goal, efforts have been [&hellip;]<\/p>\n","protected":false},"author":233,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-7","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/pages\/7","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/users\/233"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/comments?post=7"}],"version-history":[{"count":18,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/pages\/7\/revisions"}],"predecessor-version":[{"id":560,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/pages\/7\/revisions\/560"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/media?parent=7"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}