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Showing 1 - 20 results of 38 for search 'cost microbe integration', query time: 0.11s Refine Results
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    Predicting microbe-disease associations via graph neural network and contrastive learning by Cong Jiang, Cong Jiang, Junxuan Feng, Junxuan Feng, Bingshen Shan, Bingshen Shan, Qiyue Chen, Jian Yang, Jian Yang, Gang Wang, Gang Wang, Xiaogang Peng, Xiaozheng Li, Xiaozheng Li

    Published 2024-12-01
    “…In the contemporary field of life sciences, researchers have gradually recognized the critical role of microbes in maintaining human health. However, traditional biological experimental methods for validating the association between microbes and diseases are both time-consuming and costly. …”
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    Article
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    Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

    Published 2025-08-01
    “…Since traditional wet-lab experiments are time-consuming and costly, computational models offer an efficient alternative for discovering potential applications of existing drugs against previously untested microbes. …”
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    Microbial responses to antibiotics cryptically shift the direction of disease outcomes by Isabela Velasquez, Kyra Ricci, Eve Milusich, Bryon F. Tuthill, Karin Sauer, Obed Hernández-Gómez, Jessica Hua

    Published 2025-07-01
    “…However, antibiotic contamination and costs associated with microbial responses to antibiotics may reduce antipathogenic efficacy. …”
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    Predicting the Imbalanced Impact of Drugs on Microbial Abundance Using Multi-View Learning and Data Augmentation by Bei Zhu, Haoyang Yu, Bingxue Du, Hui Yu, Jianyu Shi

    Published 2025-05-01
    “…Traditional Microbe-Drug Association (MDA) determination through biological assays is time-consuming and costly. …”
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    Article
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    Introduction to the Integrated Nutrient Management Strategies and Their Contribution to Yield and Soil Properties by Mostafa Mohamed Selim

    Published 2020-01-01
    “…In addition, INM acts as a source of energy, organic carbon, and available nitrogen for the growth of soil microbes and improvement of physical properties of soil, and also have great residual effect on subsequent crops. …”
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    Integrating In Silico and In Vitro Approaches for Detecting Coniothyrium glycines in High-Throughput Sequencing (HTS) Datasets Using EDNA-MiFi by Fernanda Proaño-Cuenca, Daniel Carrera-López, Kurt Zeller, Andrés S. Espindola, Kitty Cardwell

    Published 2025-06-01
    “…Using these genotypic data, this study used e-probe diagnostic nucleic acid analysis (EDNA) integrated with Microbe Finder (MiFi) technology to design and validate species-specific e-probes for detecting C. glycines. …”
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