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Gotowe bibliografie tematyczne / Deep MCCA

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Gotowa bibliografia na temat „Deep MCCA”

Autor: Grafiati

Data publikacji: 6 września 2023

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Artykuły w czasopismach na temat "Deep MCCA"

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Yang, Hai, Rui Chen, Dongdong Li, and Zhe Wang. "Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data." Bioinformatics 37, no. 16 (2021): 2231–37. http://dx.doi.org/10.1093/bioinformatics/btab109.

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Abstract Motivation The discovery of cancer subtyping can help explore cancer pathogenesis, determine clinical actionability in treatment, and improve patients' survival rates. However, due to the diversity and complexity of multi-omics data, it is still challenging to develop integrated clustering algorithms for tumor molecular subtyping. Results We propose Subtype-GAN, a deep adversarial learning approach based on the multiple-input multiple-output neural network to model the complex omics data accurately. With the latent variables extracted from the neural network, Subtype-GAN uses consensu

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Huang, Dian, Chen Yu, Zongze Shao, et al. "Identification and Characterization of Nnematicidal Volatile Organic Compounds from Deep-Sea Virgibacillus dokdonensis MCCC 1A00493." Molecules 25, no. 3 (2020): 744. http://dx.doi.org/10.3390/molecules25030744.

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Root-knot nematode diseases cause severe yield and economic losses each year in global agricultural production. Virgibacillus dokdonensis MCCC 1A00493, a deep-sea bacterium, shows a significant nematicidal activity against Meloidogyne incognita in vitro. However, information about the active substances of V. dokdonensis MCCC 1A00493 is limited. In this study, volatile organic compounds (VOCs) from V. dokdonensis MCCC 1A00493 were isolated and analyzed through solid-phase microextraction and gas chromatography–mass spectrometry. Four VOCs, namely, acetaldehyde, dimethyl disulfide, ethylbenzene,

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Niu, Siwen, Dong Liu, Zongze Shao, Jiang Huang, Aili Fan, and Wenhan Lin. "Chlorinated metabolites with antibacterial activities from a deep-sea-derived Spiromastix fungus." RSC Advances 11, no. 47 (2021): 29661–67. http://dx.doi.org/10.1039/d1ra05736g.

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Morshed, Ahsan, Prem Prakash Jayaraman, Timos Sellis, Dimitrios Georgakopoulos, Massimo Villari, and Rajiv Ranjan. "Deep Osmosis: Holistic Distributed Deep Learning in Osmotic Computing." IEEE Cloud Computing 4, no. 6 (2017): 22–32. http://dx.doi.org/10.1109/mcc.2018.1081070.

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Geng, Huantong, and Liangchao Geng. "MCCS-LSTM: Extracting Full-Image Contextual Information and Multi-Scale Spatiotemporal Feature for Radar Echo Extrapolation." Atmosphere 13, no. 2 (2022): 192. http://dx.doi.org/10.3390/atmos13020192.

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Precipitation nowcasting has been gaining importance in the operational weather forecast, being essential for economic and social development. Conventional methods of precipitation nowcasting are mainly focused on the task of radar echo extrapolation. In recent years, deep learning methods have been used in this task. Nevertheless, raising the accuracy and extending the lead time of prediction remains as a challenging problem. To address the problem, we proposed a Multi-Scale Criss-Cross Attention Context Sensing Long Short-Term Memory (MCCS-LSTM). In this model, Context Sensing framework (CS

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Xiao, Jing, Yingxue Luo, Shujie Xie, and Jun Xu. "Serinicoccus profundi sp. nov., an actinomycete isolated from deep-sea sediment, and emended description of the genus Serinicoccus." International Journal of Systematic and Evolutionary Microbiology 61, no. 1 (2011): 16–19. http://dx.doi.org/10.1099/ijs.0.019976-0.

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A Gram-reaction-positive bacterial strain of the genus Serinicoccus, designated MCCC 1A05965T, was isolated from a deep-sea (5368 m) sediment of the Indian Ocean. Comparison of 16S rRNA gene sequences revealed that the isolate shared 97.6 % sequence similarity with Serinicoccus marinus JC1078T, the type strain of the only described species of the genus Serinicoccus. The DNA–DNA relatedness between these two strains was 46.2 % (standard deviation 1.86 %). The cell wall contained alanine, glycine, serine, l-ornithine and glutamic acid, which corresponds to the description of the genus Serinicocc

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Niu, Siwen, Chun-Lan Xie, Tianhua Zhong, et al. "Sesquiterpenes from a deep-sea-derived fungus Graphostroma sp. MCCC 3A00421." Tetrahedron 73, no. 52 (2017): 7267–73. http://dx.doi.org/10.1016/j.tet.2017.11.013.

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Mehta, Sanket, Nicholas C. Danford, Venkat Boddapati, Bonnie Y. Chien, and Justin K. Greisberg. "Discriminative Ability for Adverse Outcomes in Traumatic Ankle Fracture: A Comparison of the Modified Charlson Comorbidity Index, Elixhauser Comorbidity Measure, and Modified Frailty Index." Foot & Ankle Orthopaedics 7, no. 4 (2022): 2473011421S0080. http://dx.doi.org/10.1177/2473011421s00803.

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Category: Trauma; Ankle Introduction/Purpose: The modified Charlson Comorbidity Index (mCCI), Elixhauser comorbidity measure (ECM), and 5- factor modified Frailty Index (mFI-5) have been validated for the purpose of outcome prediction in foot and ankle orthopedic care. However, from the perspective of clinical utility, no study has sought to compare the predictive performance of these measures specifically following traumatic ankle fracture. The present study compares the discriminative ability of the mCCI, ECM, and mFI-5, as well as various demographic characteristics, such as age, gender, an

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Chen, Wen, Jinping Wang, Dian Huang, et al. "Volatile Organic Compounds from Bacillus aryabhattai MCCC 1K02966 with Multiple Modes against Meloidogyne incognita." Molecules 27, no. 1 (2021): 103. http://dx.doi.org/10.3390/molecules27010103.

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Plant-parasitic nematodes cause severe losses to crop production and economies all over the world. Bacillus aryabhattai MCCC 1K02966, a deep-sea bacterium, was obtained from the Southwest Indian Ocean and showed nematicidal and fumigant activities against Meloidogyne incognita in vitro. The nematicidal volatile organic compounds (VOCs) from the fermentation broth of B. aryabhattai MCCC 1K02966 were investigated further using solid-phase microextraction gas chromatography-mass spectrometry. Four VOCs, namely, pentane, 1-butanol, methyl thioacetate, and dimethyl disulfide, were identified in the

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He, Zhi-Hui, Jia Wu, Lin Xu, et al. "Chemical Constituents of the Deep-Sea-Derived Penicillium solitum." Marine Drugs 19, no. 10 (2021): 580. http://dx.doi.org/10.3390/md19100580.

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A systematic chemical investigation of the deep-sea-derived fungus Penicillium solitum MCCC 3A00215 resulted in the isolation of one novel polyketide (1), two new alkaloids (2 and 3), and 22 known (4–25) compounds. The structures of the new compounds were established mainly on the basis of exhaustive analysis of 1D and 2D NMR data. Viridicatol (13) displayed moderate anti-tumor activities against PANC-1, Hela, and A549 cells with IC50 values of around 20 μM. Moreover, 13 displayed potent in vitro anti-food allergic activity with an IC50 value of 13 μM, compared to that of 92 μM for the positiv

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