Know more

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie


Shelf life

CAS and PHP session cookies

Login credentials, session security



Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie


Shelf life


Trace the visitor's route in order to establish visit statistics.

13 months


Store the anonymous ID of the visitor who starts the first time he visits the site

13 months


Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at or by post at :


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

Last update: May 2021

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