Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Martin Krallinger"'
Autor:
Jan Rodríguez-Miret, Eulàlia Farré-Maduell, Salvador Lima-López, Laura Vigil, Vicent Briva-Iglesias, Martin Krallinger
Publikováno v:
Information, Vol 15, Iss 10, p 585 (2024)
Recent advancements in neural machine translation (NMT) offer promising potential for generating cross-language clinical natural language processing (NLP) resources. There is a pressing need to be able to foster the development of clinical NLP tools
Externí odkaz:
https://doaj.org/article/dcc777ad8eb74bfa9edf3ce313a4f7e8
Autor:
Elizabeth T. Hobbs, Stephen M. Goralski, Ashley Mitchell, Andrew Simpson, Dorjan Leka, Emmanuel Kotey, Matt Sekira, James B. Munro, Suvarna Nadendla, Rebecca Jackson, Aitor Gonzalez-Aguirre, Martin Krallinger, Michelle Giglio, Ivan Erill
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 6 (2021)
Analysis of high-throughput experiments in the life sciences frequently relies upon standardized information about genes, gene products, and other biological entities. To provide this information, expert curators are increasingly relying on text mini
Externí odkaz:
https://doaj.org/article/6563012a49b34ad48518e463b4bcd94c
Autor:
Martin Pérez-Pérez, Gael Pérez-Rodríguez, Aitor Blanco-Míguez, Florentino Fdez-Riverola, Alfonso Valencia, Martin Krallinger, Anália Lourenço
Publikováno v:
Journal of Cheminformatics, Vol 11, Iss 1, Pp 1-16 (2019)
Abstract Background Shared tasks and community challenges represent key instruments to promote research, collaboration and determine the state of the art of biomedical and chemical text mining technologies. Traditionally, such tasks relied on the com
Externí odkaz:
https://doaj.org/article/ec61dffa83fc48f58dfe789f670c0509
Autor:
Jon Sánchez-Valle, Héctor Tejero, Kristina Ibáñez, José Luis Portero, Martin Krallinger, Fátima Al-Shahrour, Rafael Tabarés-Seisdedos, Anaïs Baudot, Alfonso Valencia
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract Epidemiological studies indicate that patients suffering from Alzheimer’s disease have a lower risk of developing lung cancer, and suggest a higher risk of developing glioblastoma. Here we explore the molecular scenarios that might underli
Externí odkaz:
https://doaj.org/article/aeb2aaf4301c4094ad5facefc5016e2b
Publikováno v:
Genomics & Informatics, Vol 17, Iss 2 (2019)
Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions or symptoms. The ident
Externí odkaz:
https://doaj.org/article/232b7f00e0dc4286a018f3dd2a16d0a6
Autor:
Ana M Rojas, Anna Santamaria, Rainer Malik, Thomas Skøt Jensen, Roman Körner, Ian Morilla, David de Juan, Martin Krallinger, Daniel Aaen Hansen, Robert Hoffmann, Jonathan Lees, Adam Reid, Corin Yeats, Anja Wehner, Sabine Elowe, Andrew B Clegg, Søren Brunak, Erich A Nigg, Christine Orengo, Alfonso Valencia, Juan A G Ranea
Publikováno v:
PLoS ONE, Vol 7, Iss 3, p e31813 (2012)
The mitotic spindle is an essential molecular machine involved in cell division, whose composition has been studied extensively by detailed cellular biology, high-throughput proteomics, and RNA interference experiments. However, because of its dynami
Externí odkaz:
https://doaj.org/article/70153f80d41f49f28dad5fc2de9963d1
Autor:
Ashish V Tendulkar, Martin Krallinger, Victor de la Torre, Gonzalo López, Pramod P Wangikar, Alfonso Valencia
Publikováno v:
PLoS ONE, Vol 5, Iss 3, p e9679 (2010)
BACKGROUND: FragKB (Fragment Knowledgebase) is a repository of clusters of structurally similar fragments from proteins. Fragments are annotated with information at the level of sequence, structure and function, integrating biological descriptions de
Externí odkaz:
https://doaj.org/article/0387567336f7478abf14ccc879c58017
Autor:
Salvador Lima López, Eulàlia Farré Maduell, Vicent Brivá Iglesias, Luis Gascó Sánchez, Martin Krallinger
MEDDOPLACEstands for MEDical DOcument PLAce-related Content Extraction. It is a shared task and set of resources focused on the detection, normalization (entity linking/toponym resolution) and classification of different kinds of places, as well as r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c61423f355616a5fab2430d614db2d9
MedProcNER stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of resources focused on the detection, normalization and indexing of clinical procedures in medical documents in Spanish. MedProcNER is complementary to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::042f07026d27c756536f39494162969a
Autor:
Graciela Gonzalez-Hernandez, Martin Krallinger, Monica Muñoz, Raul Rodriguez-Esteban, Özlem Uzuner, Lynette Hirschman
Monitoring drug safety is a central concern throughout the drug life cycle. Information about toxicity and adverse events is generated at every stage of this life cycle, and stakeholders have a strong interest in applying text mining and artificial i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b4e4fcdf237fca01b6f8e1f88f54852
https://hdl.handle.net/2117/374570
https://hdl.handle.net/2117/374570