Assessing the impact of parental linear gene normalization on the performance of statistical models for circular RNA differential expression analysis
Erda Qorri, Valentin Varga, Katalin Priskin, Dóra Latinovics, Bertalan Takács, Emese Pekker, Gábor Jaksa, Bernadett Csányi, Torday László, Ali Bassam, Zsuzsanna Kahán, Lajos Pintér, Lajos Haracska
This study evaluates normalization and filtering strategies for circRNA differential expression analysis, finding that edgeRs filterByExpr() and linear-aware normalization improve performance.
bioRxiv · Mar 9, 2026 · PreprintBioinformatics