I am new but really interested in the field of Biostatistics and Public health science. There is so much data in Public health that are underemployed and that would benefit population health in terms of services, policies, environment. I am currently exploring whether I can apply methods I used in bioinformatics and computational biology to public health data.
Indeed my background is in bioinformatics and computational biology . In computational biology, I have developed graph methods and models to analyze cellular interactions and better understand their role in determining phenotype. My first contribution in that field has been to investigating the role of cellular organizational units in determining phenotype, integrating high throughput proteomic data and graph theoritic approaches. I also worked on modeling signaling pathways at the system level to better understand the regulatory mechanisms.
My work in bioinformatics has mainly been on data quality assessment and data mining. My first contribution has been on microarray experiment embodied in the MADTOOLS project (http://www.madtools.org). My second is on flow cytometry data quality assessment and standardization (http://www.bioconductor.org). Lately, I have been involved in the data quality assessment and processing of cell-based assays (siRNA high throughput screen).
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Recent publications [more details]
2010
N. Le Meur, M. Lawrence, M. Tewari, R. Gentleman.
R and Bioconductor in bioinformatics: toward systems biology.
In: Statistical Bioinformatics: A Guide for Life and Biomedical Science Researchers. John Wiley & Sons.
Lamirault G, N. Le Meur, et al.
Molecular risk stratification in advanced heart failure patients.
J Cell Mol Med. 2010 Jun;14(6B):1443-52.
2009
N. Le Meur, M Le Borgne, J. Gruel, N. Théret.
Multiclock discrete models of biological systems.
ECCS, Warwick 2009.
J. Gruel, M LeBorgne, N. LeMeur, N. Théret.
In silico investigation of ADAM12 effect on TGF-beta receptors trafficking.
BMC Res Notes. 2009 Sep 24;2(1):193.
A. Bankhead III, I. Sach, C. Ni, N. LeMeur, M. Kruger, M. Ferrer, R. Gentleman, Carol R.
Knowledge based identification of essential signaling from genome-scale siRNA experiments. BMC Systems Biology 2009, 3:80 [Highly accessed]
N. LeMeur*, F. Hahne* , R.R. Brinkman, B. Ellis, P. Haaland, D. Sarkar, J. Spidlen, E. Strain and R. Gentleman. flowCore: a Bioconductor package for high throughput flow cytometry. BMC Bioinformatics 2009, 10:106 (* Equal contributors)[Highly accessed]