Browsing by Author "Krallinger, Martin"
Now showing items 1-13 of 13
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A molecular hypothesis to explain direct and inverse co-morbidities between Alzheimer’s Disease, Glioblastoma and Lung cancer
Sánchez-Valle, Jon; Tejero, Héctor; Ibáñez, Kristina; Portero, Jose L.; Krallinger, Martin; Al-Shahrour, Fátima; Tabarés Seisdedos, Rafael; Baudot, Anaïs; Valencia, Alfonso (Nature Publishing Group, 2017-06-30)
Article
Open AccessEpidemiological 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 ... -
BioASQ at CLEF2022: the tenth edition of the large-scale biomedical semantic indexing and question answering challenge
Nentidis, Anastasios; Krithara, Anastasia; Paliouras, Georgios; Gasco, Luis; Krallinger, Martin (Springer International Publishing, 2022)
Conference lecture
Restricted access - publisher's policyThe tenth version of the BioASQ Challenge will be held as an evaluation Lab within CLEF2022. The motivation driving BioASQ is the continuous advancement of approaches and tools to meet the need for efficient and precise ... -
Challenges and opportunities for mining adverse drug reactions: perspectives from pharma, regulatory agencies, healthcare providers and consumers
Gonzalez Hernandez, Graciela; Krallinger, Martin; Muñoz, Monica; Rodriguez Esteban, Raul; Uzuner, Özlem; Hirschman, Lynette (Oxford University Press, 2022-09)
Article
Open AccessMonitoring 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 ... -
ECO-CollecTF: A corpus of annotated evidence-based assertions in biomedical manuscripts
Hobbs, Elizabeth T.; Goralski, Stephen M.; Mitchell, Ashley; Simpson, Andrew; Leka, Dorjan; Kotey, Emmanuel; Sekira, Matt; Munro, James B.; Nadendla, Suvarna; Jackson, Rebecca; Gonzalez Aguirre, Aitor; Krallinger, Martin; Giglio, Michelle; Erill, Ivan (Frontiers Media, 2021)
Article
Open AccessAnalysis 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 ... -
ExTRI: Extraction of transcription regulation interactions from literature
Vazquez, Miguel; Krallinger, Martin; Leitner, Florian; Kuiper, Martin; Valencia, Alfonso; Laegreid, Astrid (Elsevier, 2022)
Article
Open AccessThe regulation of gene transcription by transcription factors is a fundamental biological process, yet the relations between transcription factors (TF) and their target genes (TG) are still only sparsely covered in databases. ... -
Information Retrieval and Text Mining Technologies for Chemistry
Krallinger, Martin; Rabal, Obdulia; Lourenço, Anália; Oyarzabal, Julen; Valencia, Alfonso (American Chemical Society, 2017-05-05)
Article
Open AccessEfficient access to chemical information contained in scientific literature, patents, technical reports, or the web is a pressing need shared by researchers and patent attorneys from different chemical disciplines. Retrieval ... -
LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
Cañada, Andres; Capella-Gutierrez, Salvador; Rabal, Obdulia; Oyarzabal, Julen; Valencia, Alfonso; Krallinger, Martin (Oxford University Press, 2017-05-22)
Article
Open AccessA considerable effort has been devoted to retrieve systematically information for genes and proteins as well as relationships between them. Despite the importance of chemical compounds and drugs as a central bio-entity in ... -
Next generation community assessment of biomedical entity recognition web servers: metrics, performance, interoperability aspects of BeCalm
Pérez Pérez, Martín; Pérez Rodríguez, Gael; Blanco Míguez, Aitor; Fernández Riverola, Florentino; Valencia, Alfonso; Krallinger, Martin; Lourenço, Anália (BMC, 2019)
Article
Open AccessBackground 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 ... -
Overview of the COVID-19 text mining tool interactive demonstration track in BioCreative VII
Chatr-aryamontri, Andrew; Hirschman, Lynette; Ross, Karen E; Oughtred, Rose; Krallinger, Martin; Dolinski, Kara; Tyers, Mike; Korves, Tonia; Arighi, Cecilia N (Oxford University Press, 2022)
Article
Open AccessThe coronavirus disease 2019 (COVID-19) pandemic has compelled biomedical researchers to communicate data in real time to establish more effective medical treatments and public health policies. Nontraditional sources such ... -
PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts
Armengol Estapé, Jordi; Soares, Felipe; Marimon, Montserrat; Krallinger, Martin (Korea Genome Organization, 2019-06-19)
Article
Open AccessAutomatically 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 ... -
The biomedical abbreviation recognition and resolution (BARR) track: Benchmarking, evaluation and importance of abbreviation recognition systems applied to Spanish biomedical abstracts
Intxaurrondo, Ander; Pérez-Pérez, Martin; Pérez-Rodríguez, Gael; López-Martín, Jose A.; Santamaria, Jesus; de la Peña, Santiago; Villegas, Marta; Akhondi, Saber A.; Valencia, Alfonso; Lourenço, Analia; Krallinger, Martin (2017-09-19)
Open AccessHealthcare professionals are generating a substantial volume of clinical data in narrative form. As healthcare providers are confronted with serious time constraints, they frequently use telegraphic phrases, domain-specific ... -
The devices, experimental scaffolds, and biomaterials ontology (DEB): a tool for mapping, annotation, and analysis of biomaterials' data
Hakimi, Osnat; Gelpi Buchaca, Josep Lluís; Krallinger, Martin; Curi, Fabio; Repchevsky, Dmitry; Ginebra Molins, Maria Pau (2020-02-26)
Article
Open Access
Covenantee: Institut de Bioenginyeria de Catalunya / Universitat de Barcelona / Barcelona Supercomputing CenterThe size and complexity of the biomaterials literature makes systematic data analysis an excruciating manual task. A practical solution is creating databases and information resources. Implant design and biomaterials ... -
Time to kick-start text mining for biomaterials
Hakimi, Osnat; Krallinger, Martin; Ginebra Molins, Maria Pau (Springer Nature, 2020)
Article
Open Access
Covenantee: Barcelona Supercomputing CenterThe rapidly expanding biomaterials data are challenging to organize. Text mining systems are powerful tools that automatically extract and integrate information in large textual collections. As text mining leaps forward ...