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INTERDISCIPLINARY TRAINING IN COMPUTATIONAL NEUROSCIENCE
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INTERDISCIPLINARY TRAINING IN COMPUTATIONAL NEUROSCIENCE
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Bayesian Inference for Tumor Heterogeneity with Next-Generation Sequencing Data
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COLLABORATIVE RESEARCH: ADVANCED STATISTICAL METHODS FOR SINGLE CELL RNA SEQUENCING STUDIES
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Collaborative Research: Advanced statistical methods for single cell RNA sequencing studies
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Non Iterative Methods for 3D SPECT Image Reconstruction
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Non Iterative Methods for 3D SPECT Image Reconstruction
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Structural variations and their impact in human cancer
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Rare-event simulation and analysis for elucidating mechanisms of development and disease
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METHODS FOR HUMAN GENETIC LINKAGE MAPPING
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Bayclone: Bayesian nonparametric inference of tumor subclones using NGS data.
Academic Article
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A BAYESIAN NONPARAMETRIC MODEL FOR RECONSTRUCTING TUMOR SUBCLONES BASED ON MUTATION PAIRS.
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Mining coherent dense subgraphs across massive biological networks for functional discovery.
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