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21901 |
Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction
Enthalten in BMC bioinformatics Bd. 14, 26.9.2013, Nr. 1, date:12.2013: 1-18
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21902 |
Using Regulated Electrical Machines in Small Hydropower Plants Operating in a Power Network
Enthalten in Russian electrical engineering Bd. 89, 25.7.2018, Nr. 5, date:5.2018: 322-327
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21903 |
USING SATELLITE IMAGES FOR WIRELESS NETWORK PLANING IN BAKU CITY
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-1/W1, 2013: 117-120
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21904 |
Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population
Enthalten in BMC primary care Bd. 23, 17.9.2022, Nr. 1, date:12.2022: 1-12
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21905 |
Using social network analysis to identify the most central services in an emergency department
Enthalten in Health systems Bd. 5, 12.12.2014, Nr. 1, date:3.2016: 29-42
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21906 |
Using social network analysis to investigate mathematical connections in U.S. and Chinese textbook problems
Enthalten in Humanities and Social Sciences Communications Bd. 11, 8.4.2024, Nr. 1, date:12.2024: 1-17
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21907 |
Using stakeholder network analysis to enhance the impact of participation in water governance
Enthalten in Humanities and Social Sciences Communications Bd. 11, 29.3.2024, Nr. 1, date:12.2024: 1-6
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21908 |
Using the co-expression network of T cell-activation-related genes to assess the disease activity in Takayasu’s arteritis patients
Enthalten in Arthritis Research & Therapy Bd. 23, 16.12.2021, Nr. 1, date:12.2021: 1-16
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21909 |
Using the contribution matrix to evaluate complex study limitations in a network meta-analysis: a case study of bipolar maintenance pharmacotherapy review
Enthalten in Biomed Central (London): BMC Research Notes Bd. 9, 14.4.2016, Nr. 1, date:12.2016: 1-13
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21910 |
Using the Methods of Neural Network Learning for Peak Water Level Prediction: A Case Study for the Rivers in the Dvina-Pechora Basin
Enthalten in Russian meteorology and hydrology Bd. 49, 27.6.2024, Nr. 4, date:4.2024: 354-362
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