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Stochastic Noise in Gene Expression Impacts Developmental Self-organization
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Prediction of CRISPR-Cas9 Cleavage Efficiency Through Markov Feature Engineering and Boosting-Based Transfer Learning
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Topics in Statistical Modeling for Unstructured Text Data with Application to Commonsense Inference
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Multidisciplinary and Dynamic Decisions in Simulation-Based Design
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Methods for Multi-Objective Genetic Clustering of Time-Evolving Data
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Fisher Score-Based Concept Drift Monitoring and Diagnosis with Applications to Microstructure Nonstationarity Analysis and Deep Learning Segmentation for Multiphase Materials
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Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Learning
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Topics in Microbiome Data Analysis: Normalization and Differential Abundance Test and Large-Scale Human Microbe-Disease Association Prediction
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Several New Advances for Gaussian Process Models
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Applications of Statistical Language Models in Complex Network Community Detection and Definition Modeling
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