{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T09:50:09Z","timestamp":1766137809752,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,10,19]],"date-time":"2021-10-19T00:00:00Z","timestamp":1634601600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 11801412"],"award-info":[{"award-number":["No. 11801412"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The Science Fund of Tianjin Education Commission for Higher Education","award":["No. 2019KJ025"],"award-info":[{"award-number":["No. 2019KJ025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Gene network associated with Alzheimer\u2019s disease (AD) is constructed from multiple data sources by considering gene co-expression and other factors. The AD gene network is divided into modules by Cluster one, Markov Clustering (MCL), Community Clustering (Glay) and Molecular Complex Detection (MCODE). Then these division methods are evaluated by network structure entropy, and optimal division method, MCODE. Through functional enrichment analysis, the functional module is identified. Furthermore, we use network topology properties to predict essential genes. In addition, the logical regression algorithm under Bayesian framework is used to predict essential genes of AD. Based on network pharmacology, four kinds of AD\u2019s herb-active compounds-active compound targets network and AD common core network are visualized, then the better herbs and herb compounds of AD are selected through enrichment analysis.<\/jats:p>","DOI":"10.3390\/e23101365","type":"journal-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T01:23:46Z","timestamp":1634693026000},"page":"1365","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Gene Network Analysis of Alzheimer\u2019s Disease Based on Network and Statistical Methods"],"prefix":"10.3390","volume":"23","author":[{"given":"Chen","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Mathematical Sciences, Tiangong University, Tianjin 300382, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyan","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Tiangong University, Tianjin 300382, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0301-7604","authenticated-orcid":false,"given":"Shujuan","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Tiangong University, Tianjin 300382, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,19]]},"reference":[{"key":"ref_1","first-page":"49","article-title":"Experimental Research Progress on Traditional Chinese Medicine in Treatment of Alzheimer\u2019s Disease by Regulating and Controlling Calcium Ions in SteadyState","volume":"36","author":"Yao","year":"2018","journal-title":"Chin. 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