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Advances in Causal Inference to Support Vaccine Development and Evaluation
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Cell type identification in single-cell genomics and its applications
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A benchmark of rare cell type detection methods for single-cell RNA sequencing data
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Statistical Methods for Analyzing Microbiome Data
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Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches
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Improvements in statistical machine learning for current problems in public health
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Transcriptome Sequencing of Peripheral Blood Reveals Distinct Expression Landscapes of COVID-19 and MIS-C Patients
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EDClust: An EM-MM hybrid method for cell clustering in population-level single cell RNA sequencing
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Statistical Methods for Brain Network Estimation
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Statistical Modeling and Learning in Single Cell RNA Sequencing Data
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