Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Francisco M. Couto"'
Autor:
Ligia Moriguchi Watanabe, Lisete Sousa, Francisco M. Couto, Natália Yumi Noronha, Marcela Augusta de Souza Pinhel, Gleyson Francisco da Silva Carvalho, Guilherme da Silva Rodrigues, Carlos Roberto Bueno Júnior, Leslie Domenici Kulikowski, Fernando Barbosa Júnior, Carla Barbosa Nonino
Publikováno v:
Nutrients, Vol 16, Iss 11, p 1627 (2024)
Blood selenium (Se) concentrations differ substantially by population and could be influenced by genetic variants, increasing Se deficiency-related diseases. We conducted a genome-wide association study (GWAS) to identify single nucleotide polymorphi
Externí odkaz:
https://doaj.org/article/5325403e415c4d428c55d813083ee751
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-20 (2023)
Abstract Background Complex diseases such as neurodevelopmental disorders (NDDs) exhibit multiple etiologies. The multi-etiological nature of complex-diseases emerges from distinct but functionally similar group of genes. Different diseases sharing g
Externí odkaz:
https://doaj.org/article/1625c08bbf0043f8bbb2022d7ceabefc
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-12 (2022)
Abstract The recommendation of items based on the sequential past users’ preferences has evolved in the last few years, mostly due to deep learning approaches, such as BERT4Rec. However, in scientific fields, recommender systems for recommending th
Externí odkaz:
https://doaj.org/article/fdf9230853a949ebbe2c41f52c919dd0
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-18 (2021)
Abstract The large, and increasing, number of chemical compounds poses challenges to the exploration of such datasets. In this work, we propose the usage of recommender systems to identify compounds of interest to scientific researchers. Our approach
Externí odkaz:
https://doaj.org/article/bcbe1fac14944c0991a90e795229adcc
Publikováno v:
Journal of Cheminformatics, Vol 12, Iss 1, Pp 1-11 (2020)
Abstract Background Named Entity Linking systems are a powerful aid to the manual curation of digital libraries, which is getting increasingly costly and inefficient due to the information overload. Models based on the Personalized PageRank (PPR) alg
Externí odkaz:
https://doaj.org/article/a2d677fb86d240ed8d56149359214626
Publikováno v:
IEEE Access, Vol 8, Pp 161042-161051 (2020)
Question Answering (QA) is a natural language processing task that aims at obtaining relevant answers to user questions. While some progress has been made in this area, biomedical questions are still a challenge to most QA approaches, due to the comp
Externí odkaz:
https://doaj.org/article/6c856978a1b648009336d94cc1c016e8
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
Abstract Background Biomedical literature concerns a wide range of concepts, requiring controlled vocabularies to maintain a consistent terminology across different research groups. However, as new concepts are introduced, biomedical literature is pr
Externí odkaz:
https://doaj.org/article/077e66f545fe412ab3fcc63d34c10820
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 6 (2021)
Objective: In 2016, the International Agency for Research on Cancer, part of the World Health Organization, released the Exposome-Explorer, the first database dedicated to biomarkers of exposure for environmental risk factors for diseases. The databa
Externí odkaz:
https://doaj.org/article/05b785fccd6a440a9b59c79489f81828
Autor:
João D. Ferreira, Francisco M. Couto
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S10, Pp 23-31 (2019)
Abstract Background Given the increasing amount of biomedical resources that are being annotated with concepts from more than one ontology and covering multiple domains of knowledge, it is important to devise mechanisms to compare these resources tha
Externí odkaz:
https://doaj.org/article/e4f5331a245040679b79e2d345959aab
Publikováno v:
IEEE Access, Vol 7, Pp 176668-176680 (2019)
In an age of information overload, we are faced with seemingly endless options from which a small number of choices must be made. For applications such as search engines and online stores, Recommender Systems have long become the key tool for assisti
Externí odkaz:
https://doaj.org/article/4ccd2ef755764f0382f78a2916e9b1d8