Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Dengju Yao"'
Publikováno v:
ACS Omega, Vol 9, Iss 32, Pp 35100-35112 (2024)
Externí odkaz:
https://doaj.org/article/d73f1534c04242a0b0130ff30f7674da
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background A growing body of researches indicate that the disrupted expression of long non-coding RNA (lncRNA) is linked to a range of human disorders. Therefore, the effective prediction of lncRNA-disease association (LDA) can not only sugg
Externí odkaz:
https://doaj.org/article/e191536a399340f3b3bc4947a2a9ed50
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract Background Many biological studies have shown that lncRNAs regulate the expression of epigenetically related genes. The study of lncRNAs has helped to deepen our understanding of the pathogenesis of complex diseases at the molecular level. D
Externí odkaz:
https://doaj.org/article/ca8466323d014ac4ab59858ed6e36b01
Publikováno v:
Frontiers in Genetics, Vol 14 (2024)
Increasing evidence indicates that mutations and dysregulation of long non-coding RNA (lncRNA) play a crucial role in the pathogenesis and prognosis of complex human diseases. Computational methods for predicting the association between lncRNAs and d
Externí odkaz:
https://doaj.org/article/2670295c40c940abb856cd424022f9c8
Autor:
Chenchen Zhou, Xiangkui Li, Fan Feng, Jian Zhang, He Lyu, Weixuan Wu, Xuezhi Tang, Bin Luo, Dong Li, Wei Xiang, Dengju Yao
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Objective: The objective of this research is to construct a method to alleviate the problem of sample imbalance in classification, especially for arrhythmia classification. This approach can improve the performance of the model without using data enh
Externí odkaz:
https://doaj.org/article/dc9b75e90e5a4d4f9fcced117ea97f9f
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
More and more studies have proved that microRNAs (miRNAs) play a critical role in gene expression regulation, and the irregular expression of miRNAs tends to be associated with a variety of complex human diseases. Because of the high cost and low eff
Externí odkaz:
https://doaj.org/article/601b5295a6774e17ba83883ef49d74ba
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
More and more evidences have showed that the unnatural expression of long non-coding RNA (lncRNA) is relevant to varieties of human diseases. Therefore, accurate identification of disease-related lncRNAs can help to understand lncRNA expression at th
Externí odkaz:
https://doaj.org/article/189ce94235c745219e6f13eaf63a3d4b
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-18 (2020)
Abstract Background Accumulated evidence shows that the abnormal regulation of long non-coding RNA (lncRNA) is associated with various human diseases. Accurately identifying disease-associated lncRNAs is helpful to study the mechanism of lncRNAs in d
Externí odkaz:
https://doaj.org/article/f491486634654cbe8470acc8d97bc2e4
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Background A large body of evidence shows that miRNA regulates the expression of its target genes at post-transcriptional level and the dysregulation of miRNA is related to many complex human diseases. Accurately discovering disease-related
Externí odkaz:
https://doaj.org/article/2ca551a1f9144d939285710864573631
Publikováno v:
Symmetry, Vol 14, Iss 10, p 2106 (2022)
The integrated scheduling problem is a classical combinatorial optimization problem. The existing integrated scheduling algorithms generally adopt the short-time scheduling strategy that does not fully consider the impact of the degree of process par
Externí odkaz:
https://doaj.org/article/61b50ebaa9ba459aae61c7e81368d833