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261 |
Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021
Enthalten in European journal of medical research Bd. 28, 29.11.2023, Nr. 1, date:12.2023: 1-17
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262 |
Global research trends and developments in female infertility: a systematic bibliometric analysis and network visualization of 9288 studies
Enthalten in Middle East Fertility Society: Middle East Fertility Society journal Bd. 30, 7.5.2025, Nr. 1, date:12.2025: 1-14
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263 |
HapNetworkView: a tool for haplotype network exploration and visualization
Enthalten in BMC genomics Bd. 26, 20.1.2025, Nr. 1, date:12.2025: 1-6
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264 |
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer’s disease
Enthalten in Alzheimer's research & therapy Bd. 13, 23.11.2021, Nr. 1, date:12.2021: 1-18
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265 |
Instructional Technology Tetrahedron and Network Visualization: Conceptualizing Online Teaching Through a Lens of Reflective Noticing
Enthalten in Digital experiences in mathematics education Bd. 10, 15.8.2024, Nr. 3, date:12.2024: 431-461
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266 |
Integrated network reconstruction, visualization and analysis using YANAsquare
Enthalten in BMC bioinformatics Bd. 8, 28.8.2007, Nr. 1, date:12.2007: 1-10
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267 |
Integrating traditional practices and social network visualization to prevent substance use: study protocol for a randomized controlled trial among urban Native American emerging adults
Enthalten in Addiction science & clinical practice Bd. 16, 26.9.2021, Nr. 1, date:12.2021: 1-18
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268 |
Interpretability Analysis of Data Augmented Convolutional Neural Network in Mineral Prospectivity Mapping Using Black-Box Visualization Tools
Enthalten in Natural resources research Bd. 34, 31.1.2025, Nr. 2, date:4.2025: 759-783
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269 |
Kiwi: a tool for integration and visualization of network topology and gene-set analysis
Enthalten in BMC bioinformatics Bd. 15, 11.12.2014, Nr. 1, date:12.2014: 1-6
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270 |
Landslide detection using visualization techniques for deep convolutional neural network models
Enthalten in Natural hazards Bd. 109, 10.6.2021, Nr. 1, date:10.2021: 329-350
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