University of Hong Kong researchers present a new method dubbed SpliceNet in Nucleic Acids Research that aims to infer isoform-specific co-expression networks from RNA-seq data. SpliceNet first looks at the expression of genes and isoforms as multivariate variables and then relies on a large dimensional trace test to uncover any pairwise dependencies and construct co-expression networks with isoform-level resolution.

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