Ritchie, Matthew E.
The University of Melbourne · Walter and Eliza Hall Institute of Medical Research
15 papers on CoChatORCID 0000-0002-7383-0609
Most cited papers
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limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research
Gene expression and cancer classificationGenomics and Phylogenetic Studies
Cited by 40,458
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Opportunities and challenges in long-read sequencing data analysis
Amarasinghe, S. L., Su, S., Dong, X., Zappia, L., Ritchie, M. E., & Gouil, Q. (2020) · Genome Biology
Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics
Cited by 2,530
- Verified
Apoptotic Caspases Suppress mtDNA-Induced STING-Mediated Type I IFN Production
White, M. J., McArthur, K., Metcalf, D., Lane, R. M., Cambier, J. C., Herold, M. J., van Delft, M. F., Bedoui, S., Lessene, G., Ritchie, M. E., et al. (2014) · Cell
interferon and immune responsesCell death mechanisms and regulation
Cited by 983
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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
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Empirical array quality weights in the analysis of microarray data
Ritchie, M. E., Diyagama, D., Neilson, J., van Laar, R., Dobrovic, A., Holloway, A., & Smyth, G. K. (2006) · BMC Bioinformatics
Gene expression and cancer classificationBioinformatics and Genomic Networks
Cited by 312
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Systematic comparison of sequencing-based spatial transcriptomic methods
You, Y., Fu, Y., Li, L., Zhang, Z., Jia, S., Lu, S., Ren, W., Liu, Y., Xu, Y., Liu, X., et al. (2024) · Nature Methods
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 220
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Synergy between the KEAP1/NRF2 and PI3K Pathways Drives Non-Small-Cell Lung Cancer with an Altered Immune Microenvironment
Best, S. A., De Souza, D. P., Kersbergen, A., Policheni, A. N., Dayalan, S., Tull, D., Rathi, V., Gray, D. H., Ritchie, M. E., McConville, M. J., et al. (2018) · Cell Metabolism
Genomics, phytochemicals, and oxidative stressFerroptosis and cancer prognosis
Cited by 217
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Multidisciplinary diabetes care with and without bariatric surgery in overweight people: a randomised controlled trial
Wentworth, J. M., Playfair, J., Laurie, C., Ritchie, M. E., Brown, W. A., Burton, P., Shaw, J. E., & O'Brien, P. E. (2014) · The Lancet Diabetes & Endocrinology
Bariatric Surgery and OutcomesDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 144
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Opposing roles of polycomb repressive complexes in hematopoietic stem and progenitor cells
Majewski, I. J., Ritchie, M. E., Phipson, B., Corbin, J., Pakusch, M., Ebert, A., Busslinger, M., Koseki, H., Hu, Y., Smyth, G. K., et al. (2010) · Blood
Hematopoietic Stem Cell TransplantationEpigenetics and DNA Methylation
Cited by 135
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Distinct initiating events underpin the immune and metabolic heterogeneity of KRAS-mutant lung adenocarcinoma
Best, S. A., Ding, S., Kersbergen, A., Dong, X., Song, J.-Y., Xie, Y., Reljic, B., Li, K., Vince, J. E., Rathi, V., et al. (2019) · Nature Communications
Lung Cancer Treatments and MutationsProtein Kinase Regulation and GTPase Signaling
Cited by 108
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A guide to creating design matrices for gene expression experiments
Law, C. W., Zeglinski, K., Dong, X., Alhamdoosh, M., Smyth, G. K., & Ritchie, M. E. (2020) · F1000Research
Gene expression and cancer classificationGenomics and Phylogenetic Studies
Cited by 69
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Using the R Package crlmm for Genotyping and Copy Number Estimation
Scharpf, R. B., Irizarry, R. A., Ritchie, M. E., Carvalho, B., & Ruczinski, I. (2011) · Journal of Statistical Software
Genomic variations and chromosomal abnormalitiesGene expression and cancer classification
Cited by 52
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Targeting triple-negative breast cancers with the Smac-mimetic birinapant
Lalaoui, N., Merino, D., Giner, G., Vaillant, F., Chau, D., Liu, L., Kratina, T., Pal, B., Whittle, J. R., Etemadi, N., et al. (2020) · Cell Death & Differentiation
Cell death mechanisms and regulationHistone Deacetylase Inhibitors Research
Cited by 51
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Laparoscopic adjustable gastric banding and progression from impaired fasting glucose to diabetes
Wentworth, J. M., Hensman, T., Playfair, J., Laurie, C., Ritchie, M. E., Brown, W. A., Skinner, S., Shaw, J. E., & O’Brien, P. E. (2014) · Diabetologia
Bariatric Surgery and OutcomesDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 16
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SIS-seq, a molecular ‘time machine’, connects single cell fate with gene programs
Tian, L., Schreuder, J., Zalcenstein, D., Tran, J., Kocovski, N., Su, S., Diakumis, P., Bahlo, M., Sargeant, T., Hodgkin, P. D., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 10
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