Oshlack, Alicia
The University of Melbourne · Peter MacCallum Cancer Centre
11 papers on CoChatORCID 0000-0001-9788-5690
Most cited papers
- Verified
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology
Gene expression and cancer classificationGenomics and Phylogenetic Studies
Cited by 7,876
- Verified
Gene ontology analysis for RNA-seq: accounting for selection bias
Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010) · Genome Biology
Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies
Cited by 7,107
- Verified
Clustering trees: a visualization for evaluating clusterings at multiple resolutions
Zappia, L., & Oshlack, A. (2018) · GigaScience
Advanced Clustering Algorithms ResearchData Visualization and Analytics
Cited by 1,064
- Verified
A comparison of background correction methods for two-colour microarrays
Ritchie, M. E., Silver, J., Oshlack, A., Holmes, M., Diyagama, D., Holloway, A., & Smyth, G. K. (2007) · Bioinformatics
Gene expression and cancer classificationBioinformatics and Genomic Networks
Cited by 907
- Verified
Splatter: simulation of single-cell RNA sequencing data
Zappia, L., Phipson, B., & Oshlack, A. (2017) · Genome Biology
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 905
- Verified
SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
Maksimovic, J., Gordon, L., & Oshlack, A. (2012) · Genome Biology
Epigenetics and DNA MethylationGene expression and cancer classification
Cited by 826
- Verified
Transcript length bias in RNA-seq data confounds systems biology
Oshlack, A., & Wakefield, M. J. (2009) · Biology Direct
Genomics and Phylogenetic StudiesGene expression and cancer classification
Cited by 497
- Verified
Optimizing the noise versus bias trade-off for Illumina Whole Genome Expression Beadchips
Shi, W., Oshlack, A., & Smyth, G. K. (2010) · Nucleic Acids Research
Gene expression and cancer classificationGenomics and Phylogenetic Studies
Cited by 225
- Verified
Gene length and detection bias in single cell RNA sequencing protocols
Phipson, B., Zappia, L., & Oshlack, A. (2017) · F1000Research
Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies
Cited by 74
- Verified
Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes
Oshlack, A., Emslie, D., Corcoran, L. M., & Smyth, G. K. (2007) · Genome biology
Gene expression and cancer classificationGenomics and Phylogenetic Studies
Cited by 69
- Verified
Order Matters: Ambient RNA correction confounds doublet detection in single-cell RNA sequencing
Meier, M., Howitt, G., Grima, C. V., Dixit, G., King, H., Gubbels, L., Levi, E., Davies, K., Shanthikumar, S., Neeland, M. R., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies
Cited by 0
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