Zobrazeno 1 - 10
of 86
pro vyhledávání: '"associations prediction"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 4814-4834 (2024)
Long non-coding RNA (lncRNA) is considered to be a crucial regulator involved in various human biological processes, including the regulation of tumor immune checkpoint proteins. It has great potential as both a cancer biomolecular biomarker and ther
Externí odkaz:
https://doaj.org/article/9a431762e91e43e382065a0421ba0ede
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background Brain diseases pose a significant threat to human health, and various network-based methods have been proposed for identifying gene biomarkers associated with these diseases. However, the brain is a complex system, and extracting
Externí odkaz:
https://doaj.org/article/68e0a850589d427cb19838bf74e0806e
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-11 (2023)
Abstract Background Piwi-interacting RNAs (piRNAs) have been proven to be closely associated with human diseases. The identification of the potential associations between piRNA and disease is of great significance for complex diseases. Traditional
Externí odkaz:
https://doaj.org/article/303a28ddfe934af89f8ab02eb6d6f716
Akademický článek
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Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Studies have shown that microbes are closely related to human health. Clarifying the relationship between microbes and diseases that cause health problems can provide new solutions for the treatment, diagnosis, and prevention of diseases, and provide
Externí odkaz:
https://doaj.org/article/74b467c3496341d79caab278281a5f51
Publikováno v:
Frontiers in Microbiology, Vol 13 (2023)
Accumulating evidence has demonstrated various associations of long non-coding RNAs (lncRNAs) with human diseases, such as abnormal expression due to microbial influences that cause disease. Gaining a deeper understanding of lncRNA–disease associat
Externí odkaz:
https://doaj.org/article/2e06b1e95f014bc0a72b20b7379ddd64
Autor:
Pengwei Hu, Yu-an Huang, Jing Mei, Henry Leung, Zhan-heng Chen, Ze-min Kuang, Zhu-hong You, Lun Hu
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss S1, Pp 1-13 (2021)
Abstract Background Disease-drug associations provide essential information for drug discovery and disease treatment. Many disease-drug associations remain unobserved or unknown, and trials to confirm these associations are time-consuming and expensi
Externí odkaz:
https://doaj.org/article/5ff8c9e48d6041029f17dc26c75b30c0
Autor:
Yuan Liu, Ruirui He, Yingjie Qu, Yuan Zhu, Dianke Li, Xinping Ling, Simin Xia, Zhenqiu Li, Dong Li
Publikováno v:
Cells, Vol 11, Iss 16, p 2485 (2022)
Understanding gene functions and their associated abnormal phenotypes is crucial in the prevention, diagnosis and treatment against diseases. The Human Phenotype Ontology (HPO) is a standardized vocabulary for describing the phenotype abnormalities a
Externí odkaz:
https://doaj.org/article/e5da7215c649434685468aafebc8c7b1
Publikováno v:
Biology, Vol 11, Iss 5, p 777 (2022)
Increasing evidence has suggested that microRNAs (miRNAs) are significant in research on human diseases. Predicting possible associations between miRNAs and diseases would provide new perspectives on disease diagnosis, pathogenesis, and gene therapy.
Externí odkaz:
https://doaj.org/article/5dea1aea94e04a5482d3cb9dd31e4eec
Akademický článek
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