A scaling normalization method for differential expression analysis of RNA-seq data MD Robinson, A Oshlack Genome biology 11, 1-9, 2010 | 7765 | 2010 |
Gene ontology analysis for RNA-seq: accounting for selection bias MD Young, MJ Wakefield, GK Smyth, A Oshlack Genome biology 11, 1-12, 2010 | 6138 | 2010 |
A comparison of background correction methods for two-colour microarrays ME Ritchie, J Silver, A Oshlack, M Holmes, D Diyagama, A Holloway, ... Bioinformatics 23 (20), 2700-2707, 2007 | 1131 | 2007 |
From RNA-seq reads to differential expression results A Oshlack, MD Robinson, MD Young Genome biology 11, 1-10, 2010 | 957 | 2010 |
SWAN: Subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips J Maksimovic, L Gordon, A Oshlack Genome biology 13, 1-12, 2012 | 885 | 2012 |
Splatter: simulation of single-cell RNA sequencing data L Zappia, B Phipson, A Oshlack Genome biology 18 (1), 174, 2017 | 744 | 2017 |
Transcript length bias in RNA-seq data confounds systems biology A Oshlack, MJ Wakefield Biology direct 4, 1-10, 2009 | 665 | 2009 |
missMethyl: an R package for analyzing data from Illumina’s HumanMethylation450 platform B Phipson, J Maksimovic, A Oshlack Bioinformatics 32 (2), 286-288, 2015 | 653 | 2015 |
Corset: enabling differential gene expression analysis for de novoassembled transcriptomes NM Davidson, A Oshlack Genome biology 15, 1-14, 2014 | 606 | 2014 |
Clustering trees: a visualization for evaluating clusterings at multiple resolutions L Zappia, A Oshlack Gigascience 7 (7), giy083, 2018 | 531 | 2018 |
A prospective evaluation of whole-exome sequencing as a first-tier molecular test in infants with suspected monogenic disorders Z Stark, TY Tan, B Chong, GR Brett, P Yap, M Walsh, A Yeung, H Peters, ... Genetics in medicine 18 (11), 1090-1096, 2016 | 400 | 2016 |
Expression profiling in primates reveals a rapid evolution of human transcription factors Y Gilad, A Oshlack, GK Smyth, TP Speed, KP White Nature 440 (7081), 242-245, 2006 | 394 | 2006 |
ChIP-seq analysis reveals distinct H3K27me3 profiles that correlate with transcriptional activity MD Young, TA Willson, MJ Wakefield, E Trounson, DJ Hilton, ME Blewitt, ... Nucleic acids research 39 (17), 7415-7427, 2011 | 341 | 2011 |
Disorders of sex development: insights from targeted gene sequencing of a large international patient cohort S Eggers, S Sadedin, JA Van Den Bergen, G Robevska, T Ohnesorg, ... Genome biology 17, 1-21, 2016 | 319 | 2016 |
Diagnostic impact and cost-effectiveness of whole-exome sequencing for ambulant children with suspected monogenic conditions TY Tan, OJ Dillon, Z Stark, D Schofield, K Alam, R Shrestha, B Chong, ... JAMA pediatrics 171 (9), 855-862, 2017 | 310 | 2017 |
Array-based gene discovery with three unrelated subjects shows SCARB2/LIMP-2 deficiency causes myoclonus epilepsy and glomerulosclerosis SF Berkovic, LM Dibbens, A Oshlack, JD Silver, M Katerelos, DF Vears, ... The American Journal of Human Genetics 82 (3), 673-684, 2008 | 305 | 2008 |
Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database L Zappia, B Phipson, A Oshlack PLoS computational biology 14 (6), e1006245, 2018 | 282 | 2018 |
Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips W Shi, A Oshlack, GK Smyth Nucleic acids research 38 (22), e204-e204, 2010 | 260 | 2010 |
Natural selection on gene expression Y Gilad, A Oshlack, SA Rifkin TRENDS in Genetics 22 (8), 456-461, 2006 | 247 | 2006 |
Evaluation of variability in human kidney organoids B Phipson, PX Er, AN Combes, TA Forbes, SE Howden, L Zappia, HJ Yen, ... Nature methods 16 (1), 79-87, 2019 | 213 | 2019 |