Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Octavia-Andreea Ciora"'
Autor:
Octavia-Andreea Ciora, Tanja Seegmüller, Johannes S. Fischer, Theresa Wirth, Friederike Häfner, Sophia Stoecklein, Andreas W. Flemmer, Kai Förster, Alida Kindt, Dirk Bassler, Christian F. Poets, Narges Ahmidi, Anne Hilgendorff
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Long-term survival after premature birth is significantly determined by development of morbidities, primarily affecting the cardio-respiratory or central nervous system. Existing studies are limited to pairwise morbidity associati
Externí odkaz:
https://doaj.org/article/ab4f80dc0e2544f3a6ce3b02a514a436
Autor:
Markus Hoffmann, Leon Schwartz, Octavia-Andreea Ciora, Nico Trummer, Lina-Liv Willruth, Jakub Jankowski, Hye Kyung Lee, Jan Baumbach, Priscilla Furth, Lothar Hennighausen, Markus List
Publikováno v:
bioRxiv
MotivationCircular RNAs (circRNAs) are long non-coding RNAs (lncRNAs) often associated with diseases and considered potential biomarkers for diagnosis and treatment. Among other functions, circRNAs have been shown to act as microRNA (miRNA) sponges,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f1207967ba04c8be024c8be5eec521
https://europepmc.org/articles/PMC9928029/
https://europepmc.org/articles/PMC9928029/
Autor:
Tim Daniel Rose, Thibault Bechtler, Octavia-Andreea Ciora, Kim Anh Lilian Le, Florian Molnar, Nikolai Köhler, Jan Baumbach, Richard Röttger, Josch Konstantin Pauling
Publikováno v:
Rose, T D, Bechtler, T, Ciora, O A, Anh Lilian Le, K, Molnar, F, Köhler, N, Baumbach, J, Röttger, R & Pauling, J K 2022, ' MoSBi : Automated signature mining for molecular stratification and subtyping ', Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 16, pp. e2118210119 . https://doi.org/10.1073/pnas.2118210119
SignificanceMolecular patient stratification and disease subtyping are ongoing and high-impact problems that rely on the identification of characteristic molecular signatures. Current computational methods show high sensitivity to custom parameteriza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1bffb8eb39d43f6d094b515c258a899
https://findresearcher.sdu.dk:8443/ws/files/202007599/pnas.2118210119.pdf
https://findresearcher.sdu.dk:8443/ws/files/202007599/pnas.2118210119.pdf