Results 21 to 30 of about 1,960,778 (332)
RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction
Frontiers in Microbiology, 2019 Based on advancements in deep sequencing technology and microbiology, increasing evidence indicates that microbes inhabiting humans modulate various host physiological phenomena, thus participating in various disease pathogeneses.
Ya-Wei Niu +5 more
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Identifying Potential miRNAs–Disease Associations With Probability Matrix Factorization
Frontiers in Genetics, 2019 In recent years, miRNAs have been verified to play an irreplaceable role in biological processes associated with human disease. Discovering potential disease-related miRNAs helps explain the underlying pathogenesis of the disease at the molecular level ...
Junlin Xu +8 more
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Earth, Planets and Space, 2020 We analyze the regional tsunami hazard along the Sea of Japan coast associated with 60 active faults beneath the eastern margin of the Sea of Japan. We generate stochastic slip distribution using a Monte Carlo approach at each fault, and the total number
Iyan E. Mulia +4 more
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miGAP: miRNA–Gene Association Prediction Method Based on Deep Learning Model
Applied Sciences, 2023 MicroRNAs (miRNAs) are small RNA molecules consisting of approximately 22 nucleotides; they regulate gene expression and are employed in the development of therapeutics for intractable diseases.
Seungwon Yoon +4 more
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SGAEMDA: Predicting miRNA-Disease Associations Based on Stacked Graph Autoencoder
Cells, 2022 MicroRNA (miRNA)-disease association (MDA) prediction is critical for disease prevention, diagnosis, and treatment. Traditional MDA wet experiments, on the other hand, are inefficient and costly.Therefore, we proposed a multi-layer collaborative ...
Shudong Wang +6 more
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Human Microbe-Disease Association Prediction Based on Adaptive Boosting
Frontiers in Microbiology, 2018 There are countless microbes in the human body, and they play various roles in the physiological process. There is growing evidence that microbes are closely associated with human diseases.
Li-Hong Peng +4 more
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QIMCMDA: MiRNA-Disease Association Prediction by q-Kernel Information and Matrix Completion
Frontiers in Genetics, 2020 Studies have shown that microRNAs (miRNAs) are closely associated with many human diseases, but we have not yet fully understand the role and potential molecular mechanisms of miRNAs in the process of disease development.
Lin Wang +5 more
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Skewed associativity enhances performance predictability [PDF]
Proceedings of the 22nd annual international symposium on Computer architecture - ISCA '95, 1995 Performance tuning becomes harder as computer technology advances. One of the factors is the increasing complexity of memory hierarchies. Most modern machines now use at least one level of cache memory. To reduce execution stalls, cache misses must be very low.
F. Bodin, A. Seznec
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Combined search for the standard model Higgs boson decaying to b bbar using the D0 Run II data set [PDF]
, 2012 We present the results of the combination of searches for the standard model Higgs boson produced in association with a W or Z boson and decaying into b bbar using the data sample collected with the D0 detector in p pbar collisions at sqrt{s}=1.96 TeV at
Bertram, Iain +6 more
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Structure prediction of magnetosome-associated proteins [PDF]
Frontiers in Microbiology, 2014 Magnetotactic bacteria (MTB) are Gram-negative bacteria that can navigate along geomagnetic fields. This ability is a result of a unique intracellular organelle, the magnetosome. These organelles are composed of membrane-enclosed magnetite (Fe3O4) or greigite (Fe3S4) crystals ordered into chains along the cell.
Nudelman, Hila, Zarivach, Raz
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