Dr Matthew RITCHIE

Senior Fellow (Associate)

School of Mathematics and Statistics

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Recent Publications

  • Luyi Tian, Xueyi Dong, Saskia Freytag, Kim-Anh Le Cao, Shian Su, Abolfazl JalalAbadi, Daniela Amann-Zalcenstein, Tom S Weber, Azadeh Seidi, Jafar S Jabbari, Shalin H Naik, M. Ritchie, Kim-Anh Lê Cao, K. Le-Cao. Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments.. Nature methods, 16, 479-+, 2019. doi: 10.1038/s41592-019-0425-8.

  • Luyi Tian, Xueyi Dong, Saskia Freytag, Kim-Anh Le Cao, Shian Su, Daniela Amann-Zalcenstein, Tom Weber, Azadeh Seidi, Shalin Naik, M. Ritchie, K. Le-Cao. scRNA-seq mixology: towards better benchmarking of single cell RNA-seq protocols and analysis methods. 2018. doi: 10.1101/433102.

  • Tian Luyi, Jaring Schreuder, Daniela Amann-Zalcenstein, J. Tran, Nikolce Kocovski, Shian Su, Peter Diakumis, M. Bahlo, Toby Sargeant, M. Ritchie, Philip Hodgkin, Shalin Naik. SIS-seq, a molecular 'time machine', connects single cell fate with gene programs. 2018. doi: 10.1101/403113.

  • Charity Law, Monther Alhamdoosh, Shian Su, Xueyi Dong, Luyi Tian, G. Smyth, M. Ritchie. RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR. 1408, 2018. doi: 10.12688/f1000research.9005.3.

  • Monther Alhamdoosh, Milica Ng, Nicholas J Wilson, Julie M Sheridan, Huy Huynh, M. Ritchie. Combining multiple tools outperforms individual methods in gene set enrichment analyses. Bioinformatics, 33, 414-424, 2017. doi: 10.1093/bioinformatics/btw623.

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