论文信息 - clusterSeq: methods for identifying co-expression in high-throughput sequencing data

clusterSeq: methods for identifying co-expression in high-throughput sequencing data

Summary: Identifying gene co-expression is a significant step in understanding functional relationships between genes. Existing methods primarily depend on analyses of correlation between pairs of genes; however, this neglects structural elements between experimental conditions. We present a novel approach to identifying clusters of co-expressed genes that incorporates these structures. Availability: The methods are released on Bioconductor as the clusterSeq package (https://bioconductor.org/packages/release/bioc/html/clusterSeq.html). Contact: tjh48@cam.ac.uk

Thomas J. Hardcastle | I. Papatheodorou

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