Zobrazeno 1 - 10 of 38 pro vyhledávání: '"Fan-rong Meng"'
1
Akademický článek
An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features
Autor: Ji-Yong An, Fan-Rong Meng, Zi-Ji Yan
Publikováno v: BioData Mining, Vol 14, Iss 1, Pp 1-17 (2021)
Abstract Background Prediction of novel Drug–Target interactions (DTIs) plays an important role in discovering new drug candidates and finding new proteins to target. In consideration of the time-consuming and expensive of experimental methods. The
Externí odkaz: https://doaj.org/article/a59106d83a8448d695e418eebdd2628f
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2
Akademický článek
Differential expression of microRNA-411 and 376c is associated with hypertension in pregnancy
Autor: Hui-li Yang, Hong-zhi Zhang, Fan-rong Meng, Shu-yi Han, Miao Zhang
Publikováno v: Brazilian Journal of Medical and Biological Research, Vol 52, Iss 4 (2019)
Preeclampsia is a major reason of morbidity and mortality in pregnant women and perinatal fetus. Hence, it is of prime importance that diagnostic markers are defined to predict chances of preeclampsia in pregnant women. It has been previously shown t
Externí odkaz: https://doaj.org/article/9bbdfe0fb4f44658aa3f6b67d8e2a35d
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3
Akademický článek
Prediction of Drug–Target Interaction Networks from the Integration of Protein Sequences and Drug Chemical Structures
Autor: Fan-Rong Meng, Zhu-Hong You, Xing Chen, Yong Zhou, Ji-Yong An
Publikováno v: Molecules, Vol 22, Iss 7, p 1119 (2017)
Knowledge of drug–target interaction (DTI) plays an important role in discovering new drug candidates. Unfortunately, there are unavoidable shortcomings; including the time-consuming and expensive nature of the experimental method to predict DTI. T
Externí odkaz: https://doaj.org/article/f5d8f0dd153b4c51a004b6e05164a524
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4
Photoinduced copper-catalyzed asymmetric radical three-component cross-coupling of 1,3-enynes with oxime esters and carboxylic acids
Autor: Guo-Qing Li, Fan-Rong Meng, Wen-Jing Xiao, Jia-Rong Chen
Publikováno v: Organic Chemistry Frontiers.
A regio- and enantioselective radical three-component coupling of 1,3-enynes, oxime esters, and carboxylic acids through photoinduced copper catalysis is reported.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1eb7956ebe1536187cb19f2b162dbd18
https://doi.org/10.1039/d3qo00513e
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5
Minimally invasive maxillary sinus augmentation with simultaneous implantation on an elderly patient: A case report
Autor: Jingjie Zhang, Shihui Yang, Yanmin Zhou, Wanqi Yu, Fan-Rong Meng, Jinghui Zhao, Jun-Yan Wang, Zhe Zhou, Rui-Ning Shi
Publikováno v: World Journal of Clinical Cases
BACKGROUND In this case study, a minimally invasive transalveolar approach using platelet-rich fibrin and bone substitute with simultaneous implantation was carried out in an elderly patient. We analyzed the cone-beam computed tomography (CBCT) findi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd0cae26633e9ec5ae68a21979dff8b6
http://europepmc.org/articles/PMC7760422
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6
An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features
Autor: Zi-Ji Yan, Fan-Rong Meng, Ji-Yong An
Publikováno v: BioData Mining
BioData Mining, Vol 14, Iss 1, Pp 1-17 (2021)
Background Prediction of novel Drug–Target interactions (DTIs) plays an important role in discovering new drug candidates and finding new proteins to target. In consideration of the time-consuming and expensive of experimental methods. Therefore, i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::413c84935f17f02c50fe89d689969937
https://pubmed.ncbi.nlm.nih.gov/33472664
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7
Relation classification via recurrent neural network with attention and tensor layers
Autor: Yong Zhou, Zhang Runyan, Fan-Rong Meng, Bing Liu
Publikováno v: Big Data Mining and Analytics. 1:234-244
Relation classification is a crucial component in many Natural Language Processing (NLP) systems. In this paper, we propose a novel bidirectional recurrent neural network architecture (using Long Short-Term Memory, LSTM, cells) for relation classific
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dd5ddfb9f463a71db6201a178c2b3992
https://doi.org/10.26599/bdma.2018.9020022
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8
Differential expression of microRNA-411 and 376c is associated with hypertension in pregnancy
Autor: Fan-rong Meng, Hui-li Yang, Hong-zhi Zhang, Shu-yi Han, Miao Zhang
Publikováno v: Brazilian Journal of Medical and Biological Research, Volume: 52, Issue: 4, Article number: e7546, Published: 08 APR 2019
Brazilian Journal of Medical and Biological Research, Vol 52, Iss 4 (2019)
Brazilian Journal of Medical and Biological Research
Brazilian Journal of Medical and Biological Research v.52 n.4 2019
Associação Brasileira de Divulgação Científica (ABDC)
instacron:ABDC
Preeclampsia is a major reason of morbidity and mortality in pregnant women and perinatal fetus. Hence, it is of prime importance that diagnostic markers are defined to predict chances of preeclampsia in pregnant women. It has been previously shown t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::802e021005f740d14da2a27e8c2f0044
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2019000400607&lng=en&tlng=en
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9
Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model
Autor: Zhu-Hong You, Guiying Yan, Xing Chen, Fan-Rong Meng, Ji-Pu Hu, Ji-Yong An
Publikováno v: Protein Science. 25:1825-1833
Predicting protein-protein interactions (PPIs) is a challenging task and essential to construct the protein interaction networks, which is important for facilitating our understanding of the mechanisms of biological systems. Although a number of high
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::62302180fa55d439f63bee5d06079f32
https://doi.org/10.1002/pro.2991
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10
Manifold regularized extreme learning machine
Autor: Shixiong Xia, Bing Liu, Yong Zhou, Fan-Rong Meng
Publikováno v: Neural Computing and Applications. 27:255-269
Extreme learning machine (ELM) works for generalized single-hidden-layer feedforward networks (SLFNs), and its essence is that the hidden layer of SLFNs need not be tuned. But ELM only utilizes labeled data to carry out the supervised learning task.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::784b605773145b76b0c35f3092def6bd
https://doi.org/10.1007/s00521-014-1777-8
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