{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:31:46Z","timestamp":1760239906883,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,1,16]],"date-time":"2019-01-16T00:00:00Z","timestamp":1547596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MAKE"],"abstract":"<jats:p>The paper presents a methodology for analyzing time series of gene expression data collected from the leaves of potato virus Y (PVY) infected and non-infected potato plants, with the aim to identify significant differences between the two sets of potato plants\u2019 characteristic for various time points. We aim at identifying differentially-expressed genes whose expression values are statistically significantly different in the set of PVY infected potato plants compared to non-infected plants, and which demonstrate also statistically significant changes of expression values of genes of PVY infected potato plants in time. The novelty of the approach includes stratified data randomization used in estimating the statistical properties of gene expression of the samples in the control set of non-infected potato plants. A novel estimate that computes the relative minimal distance between the samples has been defined that enables reliable identification of the differences between the target and control datasets when these sets are small. The relevance of the outcomes is demonstrated by visualizing the relative minimal distance of gene expression changes in time for three different types of potato leaves for the genes that have been identified as relevant by the proposed methodology.<\/jats:p>","DOI":"10.3390\/make1010023","type":"journal-article","created":{"date-parts":[[2019,1,16]],"date-time":"2019-01-16T05:52:50Z","timestamp":1547617970000},"page":"400-413","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data"],"prefix":"10.3390","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9008-6156","authenticated-orcid":false,"given":"Dragan","family":"Gamberger","sequence":"first","affiliation":[{"name":"Rudjer Bo\u0161kovi\u0107 Institute, Bijeni\u010dka cesta 54, 10000 Zagreb, Croatia"}]},{"given":"Tja\u0161a","family":"Stare","sequence":"additional","affiliation":[{"name":"National Institute of Biology, 1000 Ljubljana, Slovenia"}]},{"given":"Dragana","family":"Miljkovic","sequence":"additional","affiliation":[{"name":"Jo\u017eef Stefan Institute, 1000 Ljubljana, Slovenia"}]},{"given":"Kristina","family":"Gruden","sequence":"additional","affiliation":[{"name":"National Institute of Biology, 1000 Ljubljana, Slovenia"}]},{"given":"Nada","family":"Lavra\u010d","sequence":"additional","affiliation":[{"name":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia, University of Nova Gorica, 5000 Nova Gorica, Slovenia"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1111\/j.1364-3703.2011.00752.x","article-title":"Top 10 plant viruses in molecular plant pathology","volume":"12","author":"Scholthof","year":"2011","journal-title":"Mol. 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