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EDClust: An EM-MM hybrid method for cell clustering in population-level single cell RNA sequencing
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Design Strategies for Studies Using Logistic Regression to Analyze Data on Pooled Samples
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Machine Learning-based Prediction of the Three Drugs Combination Synergy
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Risk Stratification for Overall Survival among Metastatic Prostate Cancer Patients Treated by ADT as the First Line Treatment
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Whole-blood transcriptional signatures of different severity profiles in patients with influenza A H1N1 infection
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Genome-wide DNA methylation profile change in cancer cell lines under stresses
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Powerful variance-component method for TWAS identifies novel and known risk genes for Alzheimer’s dementia
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Genotype prediction based on the gene expression data using Random Forest
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Improved Algorithm for Independent Component Analysis (ICA) with the Relax and Split Approximation
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Hypothesis testing on the number of components in finite mixture models
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