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Biorxiv : the Preprint Server for Biology|June 4, 2026
Unique molecular identifiers don't need to be unique: a collision-aware estimator for RNA-seq quantificationDylan Agyemang, Rafael A Irizarry, Tavor Z BaharavBiorxiv : the Preprint Server for Biology|May 25, 2026
Spurious correlation inflates performance in single-cell perturbation predictionPhillip B Nicol, Shriya Shivakumar, Rafael A IrizarryGenome Medicine|December 15, 2010
Overcoming bias and systematic errors in next generation sequencing dataMargaret A Taub, Hector Corrada Bravo, Rafael A IrizarryBioinformatics (Oxford, England)|November 13, 2009
Quantifying uncertainty in genotype callsBenilton S Carvalho, Thomas A Louis, Rafael A IrizarryBiostatistics (Oxford, England)|February 27, 2018
Detection and accurate false discovery rate control of differentially methylated regions from whole genome bisulfite sequencingKeegan Korthauer, Sutirtha Chakraborty, Yuval Benjamini, et al.NAR Genomics and Bioinformatics|October 18, 2021
Characterizing batch effects and binding site-specific variability in ChIP-seq dataMingxiang Teng, Dongliang Du, Danfeng Chen, et al.Biometrics|January 5, 2002
Assessing homeostasis through circadian patternsR A Irizarry, C Tankersley, R Frank, et al.Nature Biotechnology|November 8, 2016
Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimationMichael I Love, John B Hogenesch, Rafael A IrizarryBioinformatics (Oxford, England)|October 10, 2012
fRMA ST: frozen robust multiarray analysis for Affymetrix Exon and Gene ST arraysMatthew N McCall, Harris A Jaffee, Rafael A IrizarryBiostatistics (Oxford, England)|September 1, 2021
Capturing discrete latent structures: choose LDs over PCsTheresa A Alexander, Rafael A Irizarry, Héctor Corrada BravoPageof 21