Cluster-Specific Latent Factor Estimation in High-Dimensional Financial Time Series by Stjepan Begusic, Zvonko Kostanjcar

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Simplifying Data Analysis in Biomedical Research: An Automated, User-Friendly Tool by Rúben Araújo, Luís Ramalhete, Ana Viegas, Cristiana P. Von Rekowski, Tiago A. H. Fonseca, Cecília R. C. Calado, Luís Bento

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Evaluation of the added value of viral genomic information for predicting severity of influenza infection by Nina Van Goethem, Annie Robert, Nathalie Bossuyt, Laura A. E. Van Poelvoorde, Sophie Quoilin, Sigrid C. J. De Keersmaecker, Brecht Devleesschauwer, Isabelle Thomas, Kevin Vanneste, Nancy H. C. Roosens, Herman Van Oyen

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Basic Statistical Estimation Outperforms Machine Learning in Monthly Prediction of Seasonal Climatic Parameters by Eslam A. Hussein, Mehrdad Ghaziasgar, Christopher Thron, Mattia Vaccari, Antoine Bagula

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Latent Feature Group Learning for High-Dimensional Data Clustering by Wenting Wang, Yulin He, Liheng Ma, Joshua Zhexue Huang

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Editorial: Novel Applications of Chemometrics in Analytical Chemistry and Chemical Process Industry by Alessandra Biancolillo , Angelo Antonio D’Archivio , Federico Marini , Raffaele Vitale 

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Diagnostic Biomarker for Breast Cancer Applying Rayleigh Low-Rank Embedding Thermography by Bardia Yousefi, Xavier P. V. Maldague, Fatemeh Hassanipour

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A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data by Navid Ziaei, Behzad Nazari, Uri T. Eden, Alik S. Widge, Ali Yousefi

Subjects: “…High-dimensional data analysis…”
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Neural network big data fusion in remote sensing image processing technology by Wu Xiaobo

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Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics by Tayebeh Sadat Tabatabaei, Pedram Asef

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Extracting Knowledge from the Geometric Shape of Social Network Data Using Topological Data Analysis by Khaled Almgren, Minkyu Kim, Jeongkyu Lee

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Editorial: Application of Novel Statistical and Machine-Learning Methods to High-Dimensional Clinical Cancer and (Multi-)Omics Data by Chao Xu, Shaolong Cao, Md. Ashad Alam

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A novel high-dimensional trajectories construction network based on multi-clustering algorithm by Feiyang Ren, Yi Han, Shaohan Wang, He Jiang

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Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance by Barbara Pes

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Benchmark and Parameter Sensitivity Analysis of Single-Cell RNA Sequencing Clustering Methods by Monika Krzak, Yordan Raykov, Alexis Boukouvalas, Luisa Cutillo, Claudia Angelini

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Sequential Minimax Search for Multi-Layer Gene Grouping by Wenting Wang, Xingxing Zhou, Fuzhong Chen, Beishao Cao

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Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in Immunology by Subarna Palit, Subarna Palit, Subarna Palit, Christoph Heuser, Christoph Heuser, Christoph Heuser, Gustavo P. de Almeida, Gustavo P. de Almeida, Gustavo P. de Almeida, Fabian J. Theis, Fabian J. Theis, Christina E. Zielinski, Christina E. Zielinski, Christina E. Zielinski

Subjects: “…high-dimensional data analysis…”
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DiviK: divisive intelligent K-means for hands-free unsupervised clustering in big biological data by Grzegorz Mrukwa, Joanna Polanska

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Editorial: Application of novel statistical and machine-learning methods to high-dimensional clinical cancer and (multi-) omics data volume II by Chao Xu, Shaolong Cao, Md Ashad Alam

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A non-parametric maximum for number of selected features: objective optima for FDR and significance threshold with application to ordinal survey analysis by Amir Hassan Ghaseminejad Tafreshi

Subjects: “…High-dimensional data analysis…”
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