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A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data

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Gene co-expression networks (GCNs) are powerful tools that enable biologists to examine associations between genes during different biological processes. With the advancement of new technologies, such as single-cell RNA sequencing (scRNA-seq), there is a need for developing novel network methods appropriate for new types of data. |

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