Catia Pesquita
Overview
Explore the profile of Catia Pesquita including associated specialties, affiliations and a list of published articles.
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Articles
22
Citations
867
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Recent Articles
1.
Faria D, Eugenio P, Contreiras Silva M, Balbi L, Bedran G, Kallor A, et al.
Database (Oxford)
. 2024 Jun;
2024.
PMID: 38857186
The adaptive immune response plays a vital role in eliminating infected and aberrant cells from the body. This process hinges on the presentation of short peptides by major histocompatibility complex...
2.
Sousa R, Silva S, Pesquita C
Comput Biol Med
. 2024 Feb;
170:108076.
PMID: 38308873
The application of artificial intelligence and machine learning methods for several biomedical applications, such as protein-protein interaction prediction, has gained significant traction in recent decades. However, explainability is a key...
3.
Nunes S, Sousa R, Pesquita C
J Biomed Semantics
. 2023 Aug;
14(1):11.
PMID: 37580835
Background: Predicting gene-disease associations typically requires exploring diverse sources of information as well as sophisticated computational approaches. Knowledge graph embeddings can help tackle these challenges by creating representations of genes...
4.
Bedran G, Gasser H, Weke K, Wang T, Bedran D, Laird A, et al.
Cancer Immunol Res
. 2023 Mar;
11(6):747-762.
PMID: 36961404
Tumor antigens can emerge through multiple mechanisms, including translation of noncoding genomic regions. This noncanonical category of tumor antigens has recently gained attention; however, our understanding of how they recur...
5.
Carvalho R, Oliveira D, Pesquita C
BMC Med Inform Decis Mak
. 2023 Jan;
23(1):12.
PMID: 36658526
Background: Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with increased mortality rates and overall health deterioration, and a financial burden for healthcare facilities. As healthcare became...
6.
Contreiras Silva M, Eugenio P, Faria D, Pesquita C
Cancers (Basel)
. 2022 Apr;
14(8).
PMID: 35454813
The complexity of cancer research stems from leaning on several biomedical disciplines for relevant sources of data, many of which are complex in their own right. A holistic view of...
7.
Cardoso C, Sousa R, Kohler S, Pesquita C
Database (Oxford)
. 2020 Nov;
2020.
PMID: 33181823
The ability to compare entities within a knowledge graph is a cornerstone technique for several applications, ranging from the integration of heterogeneous data to machine learning. It is of particular...
8.
Sousa R, Silva S, Pesquita C
BMC Bioinformatics
. 2020 Jan;
21(1):6.
PMID: 31900127
Background: In recent years, biomedical ontologies have become important for describing existing biological knowledge in the form of knowledge graphs. Data mining approaches that work with knowledge graphs have been...
9.
Faria D, Pesquita C, Mott I, Martins C, Couto F, Cruz I
J Biomed Semantics
. 2018 Jan;
9(1):4.
PMID: 29335022
Background: Biomedical ontologies pose several challenges to ontology matching due both to the complexity of the biomedical domain and to the characteristics of the ontologies themselves. The biomedical tracks in...
10.
Oliveira D, Pesquita C
J Biomed Semantics
. 2018 Jan;
9(1):1.
PMID: 29316968
Background: Ontologies are commonly used to annotate and help process life sciences data. Although their original goal is to facilitate integration and interoperability among heterogeneous data sources, when these sources...