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Our approach exploits the presence of asymmetric Boolean implication relationships that are likely to be invariant across almost all gastric cancer datasets. Invariant asymmetric Boolean implication relationships can decipher fundamental time-series underlying the biological data. Pursuing this method, we developed a healthy mucosa\u2009\u2192\u2009GC continuum model based on this approach.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Our model performed better against publicly available models for distinguishing healthy versus GC samples. Although not trained on IM and L\/HGIN datasets, the model could identify the risk of progression to GC via the metaplasia\u2009\u2192\u2009dysplasia\u2009\u2192\u2009neoplasia cascade in patient samples. The model could rank all publicly available mouse models for their ability to best recapitulate the gene expression patterns during human GC initiation and progression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>A Boolean implication network enabled the identification of hitherto undefined continuum states during GC initiation. The developed model could now serve as a starting point for rationalizing candidate therapeutic targets to intercept GC progression.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s10120-022-01360-3","type":"journal-article","created":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T05:05:48Z","timestamp":1674536748000},"page":"286-297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Artificial intelligence-guided discovery of gastric cancer continuum"],"prefix":"10.1007","volume":"26","author":[{"given":"Daniella","family":"Vo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pradipta","family":"Ghosh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2329-8228","authenticated-orcid":false,"given":"Debashis","family":"Sahoo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,1,24]]},"reference":[{"issue":"10060","key":"1360_CR1","doi-asserted-by":"publisher","first-page":"2654","DOI":"10.1016\/S0140-6736(16)30354-3","volume":"388","author":"E Van Cutsem","year":"2016","unstructured":"Van Cutsem E, Sagaert X, Topal B, Haustermans K, Prenen H. 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