{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T11:07:12Z","timestamp":1742382432224,"version":"3.37.3"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"Supplement_2","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100003669","name":"Korea Centers for Disease Control and\u00a0Prevention","doi-asserted-by":"crossref","award":["#4845-303"],"award-info":[{"award-number":["#4845-303"]}],"id":[{"id":"10.13039\/501100003669","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korean government","award":["NRF-2018R1D1A1B07043524"],"award-info":[{"award-number":["NRF-2018R1D1A1B07043524"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Recently, various approaches for diagnosing and treating dementia have received significant attention, especially in identifying key genes that are crucial for dementia. If the mutations of such key genes could be tracked, it would be possible to predict the time of onset of dementia and significantly aid in developing drugs to treat dementia. However, gene finding involves tremendous cost, time and effort. To alleviate these problems, research on utilizing computational biology to decrease the search space of candidate genes is actively conducted.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title\/>\n                  <jats:p>In this study, we propose a framework in which diseases, genes and single-nucleotide polymorphisms are represented by a layered network, and key genes are predicted by a machine learning algorithm. The algorithm utilizes a network-based semi-supervised learning model that can be applied to layered data structures.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The proposed method was applied to a dataset extracted from public databases related to diseases and genes with data collected from 186 patients. A portion of key genes obtained using the proposed method was verified in silico through PubMed literature, and the remaining genes were left as possible candidate genes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>The code for the framework will be available at http:\/\/www.alphaminers.net\/.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa814","type":"journal-article","created":{"date-parts":[[2020,9,8]],"date-time":"2020-09-08T11:11:23Z","timestamp":1599563483000},"page":"i831-i839","source":"Crossref","is-referenced-by-count":4,"title":["Dementia key gene identification with multi-layered SNP-gene-disease network"],"prefix":"10.1093","volume":"36","author":[{"given":"Dong-gi","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, Department of Industrial Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myungjun","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Department of Industrial Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang Joon","family":"Son","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Ajou University School of Medicine , Suwon 16499, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang Hyung","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Ajou University School of Medicine , Suwon 16499, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunjung","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Department of Industrial Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,12,29]]},"reference":[{"volume-title":"World Alzheimer Report 2019: Attitudes to Dementia","year":"2019","key":"2023062409322617200_btaa814-B1"},{"key":"2023062409322617200_btaa814-B2","doi-asserted-by":"crossref","first-page":"721","DOI":"10.3233\/JAD-2011-101881","article-title":"Gene expression biomarkers in the brain of a mouse model for Alzheimer\u2019s disease: mining of microarray data by logic classification and feature selection","volume":"24","author":"Arisi","year":"2011","journal-title":"J. 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