Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Changlong GU"'
Autor:
Changlong Gu, Xiaoying Li
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-17 (2023)
Abstract There is strong evidence to support that mutations and dysregulation of miRNAs are associated with a variety of diseases, including cancer. However, the experimental methods used to identify disease-related miRNAs are expensive and time-cons
Externí odkaz:
https://doaj.org/article/68b2aad1bbb44c04813b48cb0748dee6
Publikováno v:
npj Systems Biology and Applications, Vol 9, Iss 1, Pp 1-12 (2023)
Abstract A deep understanding of the complex interaction mechanism between the various cellular components in tumor microenvironment (TME) of lung adenocarcinoma (LUAD) is a prerequisite for understanding its drug resistance, recurrence, and metastas
Externí odkaz:
https://doaj.org/article/312af5d1fd674dde8500ee2138cc0546
Publikováno v:
IEEE Access, Vol 9, Pp 51659-51668 (2021)
The high dimension, high redundancy and class imbalance of cancer multiple omics data are the main challenges for cancer diagnosis. Existing studies have neglected the role of functional proteomics in the occurrence and development of cancer. In this
Externí odkaz:
https://doaj.org/article/7c02850488da4e9aad7d5f9d5a4f36d6
Autor:
Hua Wang, Changlong Gu
Publikováno v:
Transport, Vol 35, Iss 5, Pp 523-532 (2020)
Control delay is an important parameter that is used in the optimization of traffic signal timings and the estimation of the level of service at signalized intersection. However, it is also a parameter that is very difficult to estimate. In recent ye
Externí odkaz:
https://doaj.org/article/4be2bff60a5d438db4d2ff4ba3e50d66
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
Floating car data are beneficial in estimating traffic conditions in wide areas and are playing an increasing role in traffic surveillance. However, widespread application is limited by low-sample frequency which makes it hard to get a complete pictu
Externí odkaz:
https://doaj.org/article/589dff2d15dd47c28f74e8e2e107dff2
Autor:
Xiaofang Xiao, Wen Zhu, Bo Liao, Junlin Xu, Changlong Gu, Binbin Ji, Yuhua Yao, Lihong Peng, Jialiang Yang
Publikováno v:
Frontiers in Genetics, Vol 9 (2018)
In recent years, it has been increasingly clear that long noncoding RNAs (lncRNAs) play critical roles in many biological processes associated with human diseases. Inferring potential lncRNA-disease associations is essential to reveal the secrets beh
Externí odkaz:
https://doaj.org/article/4e57c99cd44549d3a9c3eb743349a77b
Publikováno v:
PLoS ONE, Vol 11, Iss 12, p e0166509 (2016)
Identification of miRNA-disease association is a fundamental challenge in human health clinic. However, the known miRNA-disease associations are rare and experimental verification methods are expensive and time-consuming. Therefore, there is a strong
Externí odkaz:
https://doaj.org/article/fc18295a51454dffba45f388aee43110
Publikováno v:
Computer Science and Education ISBN: 9789819924455
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94df202648912e3b41c880f9e369b0a3
https://doi.org/10.1007/978-981-99-2446-2_6
https://doi.org/10.1007/978-981-99-2446-2_6
Publikováno v:
IEEE Access, Vol 9, Pp 51659-51668 (2021)
The high dimension, high redundancy and class imbalance of cancer multiple omics data are the main challenges for cancer diagnosis. Existing studies have neglected the role of functional proteomics in the occurrence and development of cancer. In this
Publikováno v:
BMC Systems Biology, Vol 13, Iss S2, Pp 1-16 (2019)
BMC Systems Biology
BMC Systems Biology
Background Biological experiments have confirmed the association between miRNAs and various diseases. However, such experiments are costly and time consuming. Computational methods help select potential disease-related miRNAs to improve the efficienc