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24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Institutions

SPS - Saclay Plant Sciences

Kim-Anh Lê Cao

Research Fellow, Head of the Computational Biostatistics Methods

Kim-Anh Lê Cao
Omics integration using mixOmics

Main research interests

Applied Statistics, ‘omics data, multivariate data integration, microbiome

Selection of 3 major recent publications

AK Shah, K-A. Lê Cao, E Choi, D Chen, B Gautier, D Nancarrow, DC Whiteman, NA Saunders, AP Barbour, V Joshi and MM Hill. Serum glycoprotein biomarker discovery and qualification pipeline reveals novel diagnostic biomarkers for esophageal adenocarcinoma (2015). Mol Cell Proteomics 14(11):3023-39 

C Keane, F Vari, M Hertzberg, K-A. Lê Cao, MR Green, E Han, JF Seymour, RJ Hicks, D Gill, P Crooks, C Gould, K Jones, LR Griffiths, D Talaulikar, S Jain, J Tobin, MK Gandhi. Ratios of T-cell immune-effectors with tumour associated macrophages and PD-1/PD-L1 axis immune-checkpoint molecules, add to the predictive power of conventional prognosticators in diffuse large B cell lymphoma. Lancet Haematology. 2(10): E445-E455.

J. Straube, A.D. Gorse, PROOF Centre of Excellence Team, B.E. Huang and K-A. Lê Cao. A linear mixed model spline framework for analysing time course ‘omics’ data (2015), PLoS ONE 10(8)


Dr Kim-Anh Lê Cao (University of Queensland Diamantina Institute) was awarded her PhD in 2008 at Université de Toulouse, France. She then moved to Australia as a postdoctoral fellow at the University of Queensland.

She is now working at the University of Queensland Diamantina Institute as a National Health and Medical Research Council (NHMRC) Career Development Fellow. Her team focuses on the development of statistical approaches for the analysis and the integration of large biological data sets for studies in several types of cancer, and diseases involving the immune system, including arthritis, chronic infections, and diabetes.  Since 2009, her team has been working on developing a statistical software dedicated to the integrative analysis of `omics' data, to help researchers make sense of biological big data ( The mixOmics team currently includes 3 core members and 3 developers. Together they continue developing methodologies for the R package, to analyse and integrate ‘omics and microbiome studies.

Since working at the University of Queensland, Kim-Anh has been teaching Statistics as a 'UQ ResTeach' recipient to undergraduate students, and since 2011 for the UQ Bioinformatics Masters program. She also teaches a yearly seminar series entitled `Statistics for frightened bio-researchers’ to UQ institutes ( and 2-day mixOmics workshops .


The University of Queensland Diamantina Institute
Translational Research Institute
Level 5, 37 Kent Street | Woolloongabba QLD 4102

T: +61 (0)7 3443 7069

The University of Queensland