Results 21 to 30 of about 1,906,656 (324)
MuCoMiD: A Multitask Graph Convolutional Learning Framework for miRNA-Disease Association Prediction [PDF]
IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2021 Growing evidence from recent studies implies that microRNAs or miRNAs could serve as biomarkers in various complex human diseases. Since wet-lab experiments for detecting miRNAs associated with a disease are expensive and time-consuming, machine learning
Thi Ngan Dong +2 more
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PLoS Comput. Biol., 2018 Recently, a growing number of biological research and scientific experiments have demonstrated that microRNA (miRNA) affects the development of human complex diseases.
Xing Chen, Jun Yin, Jia Qu, Huang Li
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Frontiers in Molecular Biosciences, 2022 The accurate prediction of potential associations between microRNAs (miRNAs) and small molecule (SM) drugs can enhance our knowledge of how SM cures endogenous miRNA-related diseases.
Jie Ni +3 more
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Towards a complete multiple-mechanism account of predictive language processing [Commentary on Pickering & Garrod] [PDF]
, 2013 Although we agree with Pickering & Garrod (P&G) that prediction-by-simulation and prediction-by-association are important mechanisms of anticipatory language processing, this commentary suggests that they: (1) overlook other potential mechanisms that ...
Huettig, F., Mani, N.
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A message passing framework with multiple data integration for miRNA-disease association prediction
Scientific Reports, 2022 Micro RNA or miRNA is a highly conserved class of non-coding RNA that plays an important role in many diseases. Identifying miRNA-disease associations can pave the way for better clinical diagnosis and finding potential drug targets.
Thi Ngan Dong +3 more
semanticscholar +1 more source
Software Defect Association Mining and Defect Correction Effort Prediction [PDF]
, 2006 Much current software defect prediction work concentrates on the number of defects remaining in software system. In this paper, we present association rule mining based methods to predict defect associations and defect-correction effort.
Cartwright, MH +3 more
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IDLDA: An Improved Diffusion Model for Predicting LncRNA–Disease Associations
Frontiers in Genetics, 2019 It has been demonstrated that long non-coding RNAs (lncRNAs) play important roles in a variety of biological processes associated with human diseases. However, the identification of lncRNA–disease associations by experimental methods is time-consuming ...
Qi Wang +3 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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Frontiers in Genetics, 2019 A key aim of post-genomic biomedical research is to systematically understand and model complex biomolecular activities based on a systematic perspective.
Hai-Cheng Yi +3 more
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Frontiers in Microbiology, 2022 Extensive clinical and biomedical studies have shown that microbiome plays a prominent role in human health. Identifying potential microbe–disease associations (MDAs) can help reveal the pathological mechanism of human diseases and be useful for the ...
Da Xu, Hanxiao Xu, Yusen Zhang, Rui Gao
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