Integration of Automatic Text Mining and Genomic and Proteomic Analysis to Unravel Prostate Cancer Biomarkers-Reference-Cited by-同舟云学术

Integration of Automatic Text Mining and Genomic and Proteomic Analysis to Unravel Prostate Cancer Biomarkers

Published:2022-01-04 Issue:2 Volume:21 Page:447-458
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Lima Tânia¹²³,Ferreira Rita⁴,Freitas Marina²,Henrique Rui⁵³⁶,Vitorino Rui²⁴⁷,Fardilha Margarida¹^ORCID

Affiliation:

1. Laboratory of Signal Transduction, Department of Medical Sciences, Institute of Biomedicine─iBiMED, University of Aveiro, 3810-193 Aveiro, Portugal

2. Department of Medical Sciences, Institute of Biomedicine─iBiMED, University of Aveiro, 3810-193 Aveiro, Portugal

3. Cancer Biology and Epigenetics Group, Research Center of Portuguese Oncology Institute of Porto (GEBC CI-IPOP) & Porto Comprehensive Cancer Center (P.CCC), 4200-072 Porto, Portugal

4. LAQV/REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal

5. Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (P.CCC), 4200-072 Porto, Portugal

6. Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar, University of Porto (ICBAS-UP), 4050-513 Porto, Portugal

7. Cardiovascular Research Centre (UnIC), Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal

Funder

European Regional Development Fund

Fundação para a Ciência e a Tecnologia

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.1c00763

Reference61 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries