Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maria Kissa"'
Autor:
Dimosthenis Tsagrasoulis, Vasilis Danos,, Maria Kissa,, Philip Trimpalis,, V. Lila Koumandou, Amalia D. Karagouni, Athanasios Tsakalidis, Sophia Kossida
Publikováno v:
Evolutionary Bioinformatics, Vol 2012, Iss 8, Pp 47-60 (2011)
Externí odkaz:
https://doaj.org/article/6e4182a57d23444295ffd559f49f528a
Autor:
Dimosthenis Tsagrasoulis, Vasilis Danos, Maria Kissa, Philip Trimpalis, V. Lila Koumandou, Amalia D. Karagouni, Athanasios Tsakalidis, Sophia Kossida
Publikováno v:
Evolutionary Bioinformatics, Vol 8 (2012)
Domain Fusion Analysis takes advantage of the fact that certain proteins in a given proteome A, are found to have statistically significant similarity with two separate proteins in another proteome B. In other words, the result of a fusion event betw
Externí odkaz:
https://doaj.org/article/3b11a5e613eb4e029e092885433b929f
Publikováno v:
Methods. 74:71-82
The amount of biomedical literature has been increasing rapidly during the last decade. Text mining techniques can harness this large-scale data, shed light onto complex drug mechanisms, and extract relation information that can support computational
Publikováno v:
Surgical Chronicles; 2022, Vol. 27 Issue 1, p111-113, 3p
Autor:
Maria Kissa, George Tsatsaronis
Publikováno v:
Biomed Data Journal. 1:10-12
Autor:
Alina, Petrova, Ma, Yue, George, Tsatsaronis, Maria, Kissa, Felix, Distel, Baader, Franz, Schroeder, Michael
Publikováno v:
Journal of Biomedical Semantics
Journal of Biomedical Semantics, BioMed Central, 2015, pp.24. ⟨10.1186/s13326-015-0015-3⟩
Journal of Biomedical Semantics, BioMed Central, 2015, pp.24. ⟨10.1186/s13326-015-0015-3⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::00ba12930f8db10e32b328bca105b001
https://hal.archives-ouvertes.fr/hal-01138987
https://hal.archives-ouvertes.fr/hal-01138987
Autor:
Alina, Petrova, Yue, Ma, George, Tsatsaronis, Maria, Kissa, Felix, Distel, Franz, Baader, Michael, Schroeder
Publikováno v:
Journal of Biomedical Semantics
Background Ontologies play a major role in life sciences, enabling a number of applications, from new data integration to knowledge verification. SNOMED CT is a large medical ontology that is formally defined so that it ensures global consistency and
Autor:
Athanasios K. Tsakalidis, Dimosthenis Tsagrasoulis, Sophia Kossida, Maria Kissa, Philip Trimpalis, V. Lila Koumandou, Amalia D. Karagouni, Vasilis Danos
Publikováno v:
Evolutionary Bioinformatics, Vol 8 (2012)
Evolutionary Bioinformatics
Evolutionary Bioinformatics, Vol 2012, Iss 8, Pp 47-60 (2011)
Evolutionary Bioinformatics
Evolutionary Bioinformatics, Vol 2012, Iss 8, Pp 47-60 (2011)
Domain Fusion Analysis takes advantage of the fact that certain proteins in a given proteome A, are found to have statistically significant similarity with two separate proteins in another proteome B. In other words, the result of a fusion event betw