Zobrazeno 1 - 10
of 372
pro vyhledávání: '"Xiufen Ye"'
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-19 (2024)
Abstract Background Integrating multi-omics data is emerging as a critical approach in enhancing our understanding of complex diseases. Innovative computational methods capable of managing high-dimensional and heterogeneous datasets are required to u
Externí odkaz:
https://doaj.org/article/2a427d2549954e729700f05a8dd602a4
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1472 (2024)
Underwater optical images have outstanding advantages for short-range underwater target detection tasks. However, owing to the limitations of special underwater imaging environments, underwater images often have several problems, such as noise interf
Externí odkaz:
https://doaj.org/article/4c5d4c0a9d124ad3a8f38a01e215ccf1
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 2, p 352 (2024)
There are many challenges in using side-scan sonar (SSS) images to detect objects. The challenge of object detection and recognition in sonar data is greater than in optical images due to the sparsity of detectable targets. The complexity of real-wor
Externí odkaz:
https://doaj.org/article/79339faf42224f3f8163c37dfa0c173f
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-24 (2022)
Abstract Background To construct gene co-expression networks, it is necessary to evaluate the correlation between different gene expression profiles. However, commonly used correlation metrics, including both linear (such as Pearson’s correlation)
Externí odkaz:
https://doaj.org/article/e5b42f2e066f4c469c39498a69297f31
Autor:
Xiaohui Zhan, Yusong Liu, Asha Jacob Jannu, Shaoyang Huang, Bo Ye, Wei Wei, Pankita H. Pandya, Xiufen Ye, Karen E. Pollok, Jamie L. Renbarger, Kun Huang, Jie Zhang
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundRhabdomyosarcoma (RMS) is a soft tissue sarcoma usually originated from skeletal muscle. Currently, RMS classification based on PAX–FOXO1 fusion is widely adopted. However, compared to relatively clear understanding of the tumorigenesis i
Externí odkaz:
https://doaj.org/article/79d6fc076e1c45328c77bf086a59641c
Autor:
Yusong Liu, Xiufen Ye, Christina Y. Yu, Wei Shao, Jie Hou, Weixing Feng, Jie Zhang, Kun Huang
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S4, Pp 1-19 (2021)
Abstract Background Gene co-expression networks are widely studied in the biomedical field, with algorithms such as WGCNA and lmQCM having been developed to detect co-expressed modules. However, these algorithms have limitations such as insufficient
Externí odkaz:
https://doaj.org/article/3a92de7478ba4401933a0b36bf455721
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2357 (2023)
Accurate segmentation of the lesion area from MRI images is essential for diagnosing bladder cancer. However, the precise segmentation of bladder tumors remains a massive challenge due to their similar intensity distributions, various tumor morpholog
Externí odkaz:
https://doaj.org/article/9397c5bc10a149eba27d71c5b301790c
Autor:
Hanwen Zhou, Xiufen Ye
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:11795-11803
The initial alignment provides an accurate attitude for SINS (strapdown inertial navigation system). By further estimating the IMU's bias and misalignment angle, the recursive Bayesian filter is accurate. However, the prior heading error has signific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faadd40fcc6bf85e2e5b03d756917e17
https://doi.org/10.1109/tie.2022.3229335
https://doi.org/10.1109/tie.2022.3229335
Publikováno v:
IEEE Access, Vol 8, Pp 96565-96580 (2020)
As a powerful tool for nonlinear systems robust controller design, robust adaptive dynamic programming (RADP) methods require initial admissible control and prior knowledge of disturbance to be effective. As the most effective approach to provide rob
Externí odkaz:
https://doaj.org/article/2f2902bf565b4160bc21524ff0b2fa03
Publikováno v:
IEEE Access, Vol 8, Pp 18962-18983 (2020)
This paper presents the detailed modeling and simulation of the dynamic coupling between an autonomous underwater vehicle (AUV) and a manipulator. The modeling processes are described with the incorporation of the most dominating hydrodynamic effects
Externí odkaz:
https://doaj.org/article/b9d497c8e81049e4a723f194c761bd8f