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  1. 701

    Machine learning approaches for spatial omics data analysis in digital pathology: tools and applications in genitourinary oncology by Hojung Kim, Hojung Kim, Jina Kim, Jina Kim, Su Yeon Yeon, Sungyong You, Sungyong You

    Published 2024-11-01
    “…In this review, we survey current trends in the development of computational methods for spatially mapped omics data analysis using digitized histopathology slides and supplementary materials, with an emphasis on tools and applications relevant to genitourinary oncological research. …”
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    Performance and Applicability Analysis of Indirect Evaporative Cooling Units in Data Centers Across Various Humidity Regions by Qian Wei, Jun Lu, Xiaoping Xia, Bin Zhang, Xiang Ying, Leihong Li

    Published 2024-11-01
    “…Indirect evaporative cooling (IEC), which utilizes natural cooling sources, is an advanced and promising technology to reduce the energy consumption of cooling systems in a data center (DC). This study presents a model of an IEC air-conditioning unit in a DC using TRNSYS simulation software validated using actual operational data to investigate the adaptability of IEC units in data centers located in regions with varying humidity levels, providing a reference for their application and promotion in DCs. …”
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    A Novel HDF-Based Data Compression and Integration Approach to Support BIM-GIS Practical Applications by Zeyu Pan, Jianyong Shi, Liu Jiang

    Published 2020-01-01
    “…Although quite a few theoretical unified data models of BIM and GIS integration have been presented in precedent research, the practical web-based applications and software support for real-world city information modeling are still difficult to achieve. …”
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    IVAG: An Integrative Visualization Application for Various Types of Genomic Data Based on R-Shiny and the Docker Platform by Tae-Rim Lee, Jin Mo Ahn, Gyuhee Kim, Sangsoo Kim

    Published 2017-12-01
    “…However, downstream analyses, such as finding differentially expressed genes or visualizing linkage disequilibrium maps and genome-wide association study (GWAS) data, still remain a challenge. Here, we introduce a dockerized web application written in R using the Shiny platform to visualize pre-analyzed RNA sequencing and GWAS data. …”
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