Results 11 to 20 of about 331 (148)

BioRED: a rich biomedical relation extraction dataset. [PDF]

Brief Bioinform, 2022
AbstractAutomated relation extraction (RE) from biomedical literature is critical for many downstream text mining applications in both research and real-world settings. However, most existing benchmarking datasets for biomedical RE only focus on relations of a single type (e.g.
Luo L, Lai PT, Wei CH, Arighi CN, Lu Z.
europepmc   +6 more sources

BIORED - A Genetic Algorithm for Pattern Detection in Biosequences

, 2008
We present a new, efficient and scalable tool, named BIORED, for pattern discovery in proteomic and genomic sequences. It uses a genetic algorithm to find interesting patterns in the form of regular expressions, and a new efficient pattern matching procedure to count pattern occurrences.
Pedro Pereira Rodrigues, Fernando M. A. Silva, Nuno A. Fonseca   +2 more
openaire   +2 more sources

Enhancing biomedical relation extraction with directionality. [PDF]

Bioinformatics
Biological relation networks contain rich information for understanding the biological mechanisms behind the relationship of entities such as genes, proteins, diseases, and chemicals.
Lai PT, Wei CH, Tian S, Leaman R, Lu Z.
europepmc   +3 more sources

A Thiosemicarbazone Schiff Base and Its Titanium(IV) Complexes: Spectral Analysis, DFT Studies, and Biological Evaluation. [PDF]

Chem Biodivers
DFT computations are used to analyze the electronic structure, stability, and reactivity profiles of a new Schiff base ligand and its Ti(IV) complexes and are characterized by elemental analysis, IR, 1H NMR, 13C NMR, and mass spectrometry and screened for antimicrobial activities against E. coli, S. aureus, ESBL, MRSA, Mtb, A.
Ghanghas P, Yadav A, Kamboj A, Choudhary A, Kour M, Kumar D, Poonia K.   +6 more
europepmc   +2 more sources

The biomedical relationship corpus of the BioRED track at the BioCreative VIII challenge and workshop. [PDF]

Database (Oxford)
Abstract The automatic recognition of biomedical relationships is an important step in the semantic understanding of the information contained in the unstructured text of the published literature. The BioRED track at BioCreative VIII aimed to foster the development of such methods by providing the participants the BioRED-BC8 corpus, a ...
Islamaj R, Wei CH, Lai PT, Luo L, Coss C, Gokal Kochar P, Miliaras N, Rodionov O, Sekiya K, Trinh D, Whitman D, Lu Z.   +11 more
europepmc   +3 more sources

Bioring® gastric banding for obesity in a private South African hospital [PDF]

South African Journal of Surgery, 2020
Obesity is a significant health problem in South Africa. Surgery is the most effective means of durable weight loss for the morbidly obese. Of the surgical options, laparoscopic adjustable gastric banding is the most controversial. We aimed to assess a single surgeon's experience with a specific band.A retrospective observational study of a continuous ...
GADewar,, Urry, RJ, Clifford, S, Katsapas, Μ, Stevens, L, Kloppers, Α   +5 more
openaire   +4 more sources

The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. [PDF]

Database (Oxford)
Abstract The BioRED track at BioCreative VIII calls for a community effort to identify, semantically categorize, and highlight the novelty factor of the relationships between biomedical entities in unstructured text. Relation extraction is crucial for many biomedical natural language processing (NLP) applications, from drug discovery to ...
Islamaj R, Lai PT, Wei CH, Luo L, Almeida T, Jonker RAA, Conceição SIR, Sousa DF, Phan CP, Chiang JH, Li J, Pan D, Meesawad W, Tsai RT, Sarol MJ, Hong G, Valiev A, Tutubalina E, Lee SM, Hsu YY, Li M, Verspoor K, Lu Z.   +22 more
europepmc   +4 more sources

BioRED track lasigeBioTM submission: Relation Extraction using Domain Ontologies with BioRED

, 2023
Abstract Biomedical relation extraction is a crucial task for extracting valuable knowledge from unstructured scientific literature. This paper discusses our team's, lasigeBioTM, involvement in the BioCreative VIII Track 1: BioRED in both sub-tasks.
Conceição, Sofia I. R., Sousa, Diana F., Silvestre, Pedro M., Couto, Francisco M.   +3 more
openaire   +1 more source

Nouveau procédé de réduction directe du minerai de fer utilisant de la biomasse

, 2022
La substitution du carbone fossile par du carbone biogénique issu de la biomasse pourrait réduire considérablement la contribution de l'industrie sidérurgique au réchauffement climatique.
Wang, Tao
core   +3 more sources

Balance measures based on Shannon Entropy across active learning iterations for the AIMED, BioRED, ChemProt, DDI and Nary-DV data sets.

, 2023
Balance measures based on Shannon Entropy across active learning iterations for the AIMED, BioRED, ChemProt, DDI and Nary-DV data sets.
Jacopo De Stefani (17655580), Charlotte Nachtegael (17655577), Tom Lenaerts (21921)   +2 more
core   +1 more source