flexiMAP: A regression-based method for discovering differential alternative polyadenylation events in standard RNA-seq data

preprint OA: closed
📄 Open PDF View at publisher

Abstract

Summary We present flexiMAP (flexible Modeling of Alternative PolyAdenylation), a new beta-regression-based method implemented in R , for discovering differential alternative polyadenylation events in standard RNA-seq data. Importantly, flexiMAP allows modeling of multiple known covariates that often confound the results of RNA-seq data analysis. We show, using simulated data, that flexiMAP is very specific and outperforms in sensitivity existing methods, especially at low fold changes. In addition, the tests on simulated data reveal some hitherto unrecognised caveats of existing methods. Availability The flexiMAP R package is available at: https://github.com/kszkop/flexiMAP Scripts and data to reproduce the analysis in this paper are available at: https://doi.org/10.5281/zenodo.3238619 Contact Irene Nobeli, [email protected]

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00