Results 61 to 70 of about 123,356 (289)

Open Biomedical Ontology-based Medline exploration [PDF]

BMC Bioinformatics, 2009
Abstract Background Effective Medline database exploration is critical for the understanding of high throughput experimental results and the development of novel hypotheses about the mechanisms underlying the targeted biological processes.
Xuan, Weijian, Dai, Manhong, Mirel, Barbara, Song, Jean, Athey, Brian, Watson, Stanley J, Meng, Fan   +6 more
openaire   +3 more sources

EXACT2: the semantics of biomedical protocols [PDF]

, 2014
© 2014 Soldatova et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and ...
A Maccagnan, A Pease, A Sackmann, A Sujathaa, Brian B Rudkin, CJ Mungall, Daniel Nadis, Doi, Emma Haddi, Grunwald, H Obokata, I Mura, J Taubert, K Wolstencroft, Larisa N Soldatova, LN Soldatova, LN Soldatova, LN Soldatova, M Courtot, M Hilario, M Schilling, Nigel J Saunders, Piyali S Basu, R Garside, RD King, Ross D King, RR Brinkman, S Mitchell, S Rune, S Shapin, T Bittner, T Klingström, Th Paul, V Rätzel, Véronique Baumlé, W Ceusters, Wolfgang Marwan, Z Xiang   +37 more
core   +3 more sources

The SWAN biomedical discourse ontology

Journal of Biomedical Informatics, 2008
Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context. Our ability to exchange such information across sub-specialties today is limited by the current scientific knowledge ecosystem's inability to properly contextualize and ...
Ciccarese, Paolo Nunzio, Wu, Elizabeth, Wong, Gwen, Ocana, Marco, Kinoshita, June, Ruttenberg, Alan, Clark, Tim   +6 more
openaire   +3 more sources

Evaluation of research in biomedical ontologies [PDF]

Briefings in Bioinformatics, 2012
Ontologies are now pervasive in biomedicine, where they serve as a means to standardize terminology, to enable access to domain knowledge, to verify data consistency and to facilitate integrative analyses over heterogeneous biomedical data. For this purpose, research on biomedical ontologies applies theories and methods from diverse disciplines such as
Hoehndorf, Robert, Dumontier, Michel, Gkoutos, Georgios V.   +2 more
openaire   +3 more sources

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Measuring Expert Performance at Manually Classifying Domain Entities under Upper Ontology Classes

, 2018
Classifying entities in domain ontologies under upper ontology classes is a recommended task in ontology engineering to facilitate semantic interoperability and modelling consistency.
Lord, Phillip, Malone, James, Matentzoglu, Nicolas, Stevens, Robert   +3 more
core   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Concept annotation in the CRAFT corpus

BMC Bioinformatics, 2012
Background Manually annotated corpora are critical for the training and evaluation of automated methods to identify concepts in biomedical text. Results This paper presents the concept annotations of the Colorado Richly Annotated Full-Text (CRAFT) Corpus,
Bada Michael, Eckert Miriam, Evans Donald, Garcia Kristin, Shipley Krista, Sitnikov Dmitry, Baumgartner William A, Cohen K, Verspoor Karin, Blake Judith A, Hunter Lawrence E   +10 more
doaj   +1 more source

Matching Biomedical Ontologies through Adaptive Multi-Modal Multi-Objective Evolutionary Algorithm

Biology, 2021
To integrate massive amounts of heterogeneous biomedical data in biomedical ontologies and to provide more options for clinical diagnosis, this work proposes an adaptive Multi-modal Multi-Objective Evolutionary Algorithm (aMMOEA) to match two ...
Xingsi Xue, Pei-Wei Tsai, Yucheng Zhuang
doaj   +1 more source

Six questions on the construction of ontologies in biomedicine [PDF]

, 2005
(Report assembled for the Workshop of the AMIA Working Group on Formal Biomedical Knowledge Representation in connection with AMIA Symposium, Washington DC, 2005.) Best practices in ontology building for biomedicine have been frequently ...
Burgun, A., Ceusters, W., Cimino, J., Davis, J., Elkin, P., Kalet, I., Kumar, Anand, Others, Rector, A., Rice, J., Rogers, J., Smith, Barry   +11 more
core