{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T06:49:30Z","timestamp":1779173370567,"version":"3.51.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684567","type":"print"},{"value":"9781643684574","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,25]]},"abstract":"<jats:p>Interferons (IFN) constitute a primary line of protection against mucosal infection, with IFN research spanning over 60 years and encompassing a vast ever-expanding amount of literature. Most of what is currently understood has been derived from extensive research defining the roles of \u201cclassical\u201d type I IFNs, IFN\u03b1 and IFN\u03b2. However, little is known regarding responses elicited by less well-characterized IFN subtypes such as IFN\u03b5. In this paper, we combined a deductive text mining analysis of IFN\u03b5 literature characterizing literature-derived knowledge with a comparative analysis of other type I and type III IFNs. Utilizing these approaches, three clusters of terms were extracted from the literature covering different aspects of IFN\u03b5 research and a set of 47 genes uniquely cited in the context of IFN\u03b5. The use of these \u201cin silico\u201d approaches support the expansion of current understanding and the creation of new knowledge surrounding IFN\u03b5.<\/jats:p>","DOI":"10.3233\/shti231122","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:26:25Z","timestamp":1706178385000},"source":"Crossref","is-referenced-by-count":1,"title":["A Text Mining Approach to Explore IFN\u03b5 Literature and Biological Mechanisms"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9307-5399","authenticated-orcid":false,"given":"Mary","family":"McCabe","sequence":"first","affiliation":[{"name":"Wellcome-Wolfson Institute for Experimental Medicine, Belfast, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helen E.","family":"Groves","sequence":"additional","affiliation":[{"name":"Wellcome-Wolfson Institute for Experimental Medicine, Belfast, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ultan F.","family":"Power","sequence":"additional","affiliation":[{"name":"Wellcome-Wolfson Institute for Experimental Medicine, Belfast, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guillermo","family":"Lopez Campos","sequence":"additional","affiliation":[{"name":"Wellcome-Wolfson Institute for Experimental Medicine, Belfast, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI231122","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:26:27Z","timestamp":1706178387000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231122"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231122","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}