Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Ping XUAN"'
Publikováno v:
iScience, Vol 27, Iss 6, Pp 109571- (2024)
Summary: Identifying the side effects related to drugs is beneficial for reducing the risk of drug development failure and saving the drug development cost. We proposed a graph reasoning method, RKDSP, to fuse the semantics of multiple connection rel
Externí odkaz:
https://doaj.org/article/a4befb54bac147dbbca6596fbd7dcc1b
Publikováno v:
International Journal of Retina and Vitreous, Vol 9, Iss 1, Pp 1-11 (2023)
Abstract Background Optical coherence tomography (OCT) is the most important and commonly utilized imaging modality in ophthalmology and is especially crucial for the diagnosis and management of macular diseases. Each OCT volume is typically only ava
Externí odkaz:
https://doaj.org/article/f9234c1e7e594b10bf3fbbd0a63ebe15
Publikováno v:
iScience, Vol 27, Iss 2, Pp 108639- (2024)
Summary: Inferring the latent disease-related miRNAs is helpful for providing a deep insight into observing the disease pathogenesis. We propose a method, CMMDA, to encode and integrate the context relationship among multiple heterogeneous networks,
Externí odkaz:
https://doaj.org/article/7092e623f1c54018a46f206e82898a22
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Background: Inferring drug-related side effects is beneficial for reducing drug development cost and time. Current computational prediction methods have concentrated on graph reasoning over heterogeneous graphs comprising the drug and side effect nod
Externí odkaz:
https://doaj.org/article/f314529ae8b54209b8807b6de17cc72b
Autor:
Zhiqing Chen, Ping Xuan, Ali Asghar Heidari, Lei Liu, Chengwen Wu, Huiling Chen, José Escorcia-Gutierrez, Romany F. Mansour
Publikováno v:
iScience, Vol 26, Iss 5, Pp 106679- (2023)
Summary: The domains of contemporary medicine and biology have generated substantial high-dimensional genetic data. Identifying representative genes and decreasing the dimensionality of the data can be challenging. The goal of gene selection is to mi
Externí odkaz:
https://doaj.org/article/e12c336da9604b6e88aad0b64deee749
Publikováno v:
Molecules, Vol 28, Iss 18, p 6544 (2023)
Since side-effects of drugs are one of the primary reasons for their failure in clinical trials, predicting their side-effects can help reduce drug development costs. We proposed a method based on heterogeneous graph transformer and capsule networks
Externí odkaz:
https://doaj.org/article/51f1e1a47eb9431cbd7fd644d416b5e1
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-16 (2020)
Abstract Background Inferring diseases related to the patient’s electronic medical records (EMRs) is of great significance for assisting doctor diagnosis. Several recent prediction methods have shown that deep learning-based methods can learn the d
Externí odkaz:
https://doaj.org/article/2fd8f9ef37c94a9f9e0383e52ed7e2b3
Publikováno v:
Informatics in Medicine Unlocked, Vol 30, Iss , Pp 100923- (2022)
Prostate cancer is the second leading cause of cancer death in men. At present, the methods for classifying early cancer grades on MRI images are mainly focused on single image modality and with low robustness. Therefore, this paper focuses on explor
Externí odkaz:
https://doaj.org/article/f96237d4532d40069529870b11460f2d
Publikováno v:
Algorithms, Vol 15, Iss 7, p 248 (2022)
The role of multi-parametric magnetic resonance imaging (mp-MRI) is becoming increasingly important in the diagnosis of the clinical severity of prostate cancer (PCa). However, mp-MRI images usually contain several unaligned 3D sequences, such as DWI
Externí odkaz:
https://doaj.org/article/23c4d50f80d44eeb91f7a7143bba69c0
Autor:
Rui Kong, Guangming Sun, Xina Li, Linfeng Wu, Le Li, Yilong Li, Fei Wang, Ping Xuan, Shifeng Yang, Bei Sun, Jisheng Hu
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Aberrant DNA methylation, especially hypermethylation of tumor suppressor genes, has been associated with many cancers' progression. 5-Aza-2′-deoxycytidine (DAC) can reverse hypermethylation-induced gene silencing via regulating DNA methyltransfera
Externí odkaz:
https://doaj.org/article/53b288e2275d45ba84c5d6e9c3e9f4be