Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Tonghui Shen"'
2
Akademický článek
Estimation of Earth Rotation Parameters and Prediction of Polar Motion Using Hybrid CNN–LSTM Model
Autor: Kehao Yu, Kai Yang, Tonghui Shen, Lihua Li, Haowei Shi, Xu Song
Publikováno v: Remote Sensing, Vol 15, Iss 2, p 427 (2023)
The Earth rotation parameters (ERPs), including polar motion (PMX and PMY) and universal time (UT1-UTC), play a central role in functions such as monitoring the Earth’s rotation and high-precision navigation and positioning. Variations in ERPs refl
Externí odkaz: https://doaj.org/article/0148e0502f6c48fc8d97d58eef4869c5
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3
Akademický článek
Heart-rate-based prediction of velocity at lactate threshold in ordinary adults
Autor: Tonghui Shen, Xu Wen
Publikováno v: Journal of Exercise Science & Fitness, Vol 17, Iss 3, Pp 108-112 (2019)
Background: Velocity lactate threshold (VLT) is commonly used as a standard for exercise intensity, although previous studies of VLT have focused mostly on well-trained athletes. Heart rate (HR) is an important physiological index which is easy to me
Externí odkaz: https://doaj.org/article/c4babbc025b84bd393f2618d5df828ce
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4
Akademický článek
HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule
Autor: Ping Xuan, Hui Cui, Tonghui Shen, Nan Sheng, Tiangang Zhang
Publikováno v: Frontiers in Pharmacology, Vol 10 (2019)
Identifying new treatments for existing drugs can help reduce drug development costs and explore novel indications of drugs. The prediction of associations between drugs and diseases is challenging because their similarities and relations are complic
Externí odkaz: https://doaj.org/article/80a573a8c1a649a7b9ce5d5f3da3978d
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5
Akademický článek
Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs
Autor: Ping Xuan, Chang Sun, Tiangang Zhang, Yilin Ye, Tonghui Shen, Yihua Dong
Publikováno v: Frontiers in Genetics, Vol 10 (2019)
Determining the target genes that interact with drugs—drug–target interactions—plays an important role in drug discovery. Identification of drug–target interactions through biological experiments is time consuming, laborious, and costly. Ther
Externí odkaz: https://doaj.org/article/f10b69a1b06d40a58b7ede97ac417ce8
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7
Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes
Autor: Ping Xuan, Weixiong Zhang, Tiangang Zhang, Xiao Wang, Tonghui Shen
Publikováno v: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17:1019-1031
Identification of disease-associated microRNAs (disease miRNAs) is an essential step towards discovering causal miRNAs and understanding disease pathogenesis. Two sources of information can be exploited for predicting disease miRNAs: one includes the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9754c1a71fd80668b73801368534ec29
https://doi.org/10.1109/tcbb.2018.2872574
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9
HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule
Autor: Nan Sheng, Ping Xuan, Hui Cui, Tiangang Zhang, Tonghui Shen
Publikováno v: Frontiers in Pharmacology, Vol 10 (2019)
Frontiers in Pharmacology
Identifying new treatments for existing drugs can help reduce drug development costs and explore novel indications of drugs. The prediction of associations between drugs and diseases is challenging because their similarities and relations are complic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ff7a890d09ef318c79def4b5bcb2397
https://doi.org/10.3389/fphar.2019.01301
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10
Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs
Autor: Tiangang Zhang, Yilin Ye, Chang Sun, Yihua Dong, Ping Xuan, Tonghui Shen
Publikováno v: Frontiers in Genetics
Frontiers in Genetics, Vol 10 (2019)
Determining the target genes that interact with drugs—drug–target interactions—plays an important role in drug discovery. Identification of drug–target interactions through biological experiments is time consuming, laborious, and costly. Ther
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0abb91ca70c7a70c37b5a5e245893a25
https://doi.org/10.3389/fgene.2019.00459
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