{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:34:18Z","timestamp":1772138058150,"version":"3.50.1"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T00:00:00Z","timestamp":1681948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005010","name":"Associazione Italiana per la Ricerca sul Cancro","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005010","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>The transition from evaluating a single time point to examining the entire dynamic evolution of a system is possible only in the presence of the proper framework. The strong variability of dynamic evolution makes the definition of an explanatory procedure for data fitting and clustering challenging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We developed CONNECTOR, a data-driven framework able to analyze and inspect longitudinal data in a straightforward and revealing way. When used to analyze tumor growth kinetics over time in 1599 patient-derived xenograft growth curves from ovarian and colorectal cancers, CONNECTOR allowed the aggregation of time-series data through an unsupervised approach in informative clusters. We give a new perspective of mechanism interpretation, specifically, we define novel model aggregations and we identify unanticipated molecular associations with response to clinically approved therapies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>CONNECTOR is freely available under GNU GPL license at https:\/\/qbioturin.github.io\/connector and https:\/\/doi.org\/10.17504\/protocols.io.8epv56e74g1b\/v1.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad201","type":"journal-article","created":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T14:45:39Z","timestamp":1682001939000},"source":"Crossref","is-referenced-by-count":9,"title":["CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7124-4676","authenticated-orcid":false,"given":"Simone","family":"Pernice","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Torino, Torino 10149, Italy"}]},{"given":"Roberta","family":"Sirovich","sequence":"additional","affiliation":[{"name":"Department of Mathematics G. 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