Showing 2,241 - 2,260 results of 56,754 for search 'data developing analysis', query time: 0.48s Refine Results
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    U-Net 3+ for anomalous diffusion analysis enhanced with mixture estimates (U-AnD-ME) in particle-tracking data by Solomon Asghar, Ran Ni, Giorgio Volpe

    Published 2025-01-01
    “…Fully exploiting this data therefore requires the development of advanced analysis methods—a core goal at the heart of the recent international Anomalous Diffusion (AnDi) Challenges. …”
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  3. 2243

    VivaxGEN: An open access platform for comparative analysis of short tandem repeat genotyping data in Plasmodium vivax populations. by Hidayat Trimarsanto, Ernest D Benavente, Rintis Noviyanti, Retno Ayu Setya Utami, Leily Trianty, Zuleima Pava, Sisay Getachew, Jung-Yeon Kim, Youn-Kyoung Goo, Sonam Wangchuck, Yaobao Liu, Qi Gao, Simone Dowd, Qin Cheng, Taane G Clark, Ric N Price, Sarah Auburn

    Published 2017-03-01
    “…This paper describes VivaxGEN (http://vivaxgen.menzies.edu.au), a web-based platform that has been developed to support P. vivax short tandem repeat data sharing and comparative analyses.…”
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  4. 2244

    Process of Solving Multi-Response Optimization Problems Using a Novel Data Envelopment Analysis Variant-Taguchi Method by Narong Wichapa, Narathip Pawaree, Pariwat Nasawat, Prawach Chourwong, Anucha Sriburum, Wanrop Khanthirat

    Published 2024-12-01
    “…Therefore, this study presents an innovative hybrid method that combines the Data Envelopment Analysis Variant (DEAV) model with Taguchi to address the challenges associated with MRO. …”
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    A hybrid deep learning framework for early detection of Mpox using image data by Sajal Chakroborty

    Published 2025-06-01
    “…This framework allows us to construct hybrid deep learning models combining deep learning architectures as a feature extraction tool with machine learning classifiers and perform a comprehensive analysis of Mpox detection from image data. Our best-performing model consists of MobileNetV2 with LightGBM classifier, which achieves an accuracy of 91.49%, precision of 86.96%, weighted precision of 91.87%, recall of 95.24%, weighted recall of 91.49%, F1 score of 90.91%, weighted F1-score of 91.51% and Matthews Correlation Coefficient score of 0.83.…”
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    Examining the Relationship Between Female Employment Rate and Poverty in the Context of Three Fragile Countries: A Panel Data Analysis by Anet Taşçıoğlu

    Published 2023-08-01
    “…This study performed its panel data analysis by utilizing random effects, and the results of the study have concluded increased female employment rates to reduce poverty. …”
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    Application of chemometric analysis using physicochemical and chromatographic data to differentiate the origin of plant protection products containing trinexapac-ethyl by Patrycja Marczewska, Joanna Rolnik, Tomasz Stobiecki

    Published 2025-07-01
    “…Chemometric tools such as principal component analysis (PCA), hierarchical clustering analysis (HCA), and Soft Independent Modeling of Class Analogy (SIMCA) facilitated data interpretation, revealing distinct clusters of samples based on their chemical fingerprints. …”
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  17. 2257

    A Hiplot‐based web service for cold atmospheric plasma high‐throughput data integration and analysis on breast cancer by Xiaofeng Dai, Mingjie Wang, Yang Liu

    Published 2025-08-01
    “…It can analyze each type of omics data regarding differentially expressed biomarkers, expression landscape, gene ontology analysis, pathway interpretation, gene set enrichment analysis, and protein‐protein interaction network. …”
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    Challenges in reducing grand multiparity rates in Ethiopia: an analysis of 2019 EDHS data using a multilevel model approach by Diriba Dibaba, Tesfaye Getachow Charkos

    Published 2025-02-01
    “…Multilevel multivariable logistic regression analysis was employed to model the hierarchical data. …”
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    OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis. by Greg Finak, Jacob Frelinger, Wenxin Jiang, Evan W Newell, John Ramey, Mark M Davis, Spyros A Kalams, Stephen C De Rosa, Raphael Gottardo

    Published 2014-08-01
    “…Technological advances in cytometry instrumentation are increasing the size and dimensionality of data sets, posing a challenge for traditional data management and analysis. …”
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  20. 2260

    Detecting cell-type-specific allelic expression imbalance by integrative analysis of bulk and single-cell RNA sequencing data. by Jiaxin Fan, Xuran Wang, Rui Xiao, Mingyao Li

    Published 2021-03-01
    “…To overcome this limitation and utilize the vast amount of existing disease relevant bulk tissue RNA-seq data, we developed BSCET, which enables the characterization of cell-type-specific AEI in bulk RNA-seq data by integrating cell type composition information inferred from a small set of scRNA-seq samples, possibly obtained from an external dataset. …”
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