Software Tools and Algorithms for Biological Systems
Biomarkers discovery in medical genomics data
Publication
, Chapter
Benis, A; Courtine, M
March 15, 2011
This chapter presents a system, called DiscoCini, assisting the biology experts to explore medical genomics data. First, it computes all the correlations (based on ranks) between gene expression and bioclinical data. The amount of generated results is huge. In a second step, we propose an original visual approach to simply and efficiently explore these results. Thanks to sets of data generated during experiments in the field of obesity genomics, we show how DiscoClini allows easy identification of complex disease biomarkers.
Duke Scholars
DOI
ISBN
978-1-4419-7045-9
Publication Date
March 15, 2011
Start / End Page
327 / 334
Publisher
Springer, New York, NY
Citation
APA
Chicago
ICMJE
MLA
NLM
Benis, A., & Courtine, M. (2011). Biomarkers discovery in medical genomics data. In Software Tools and Algorithms for Biological Systems (pp. 327–334). Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7046-6_33
Benis, arriel, and Melanie Courtine. “Biomarkers discovery in medical genomics data.” In Software Tools and Algorithms for Biological Systems, 327–34. Springer, New York, NY, 2011. https://doi.org/10.1007/978-1-4419-7046-6_33.
Benis A, Courtine M. Biomarkers discovery in medical genomics data. In: Software Tools and Algorithms for Biological Systems. Springer, New York, NY; 2011. p. 327–34.
Benis, arriel, and Melanie Courtine. “Biomarkers discovery in medical genomics data.” Software Tools and Algorithms for Biological Systems, Springer, New York, NY, 2011, pp. 327–34. Manual, doi:10.1007/978-1-4419-7046-6_33.
Benis A, Courtine M. Biomarkers discovery in medical genomics data. Software Tools and Algorithms for Biological Systems. Springer, New York, NY; 2011. p. 327–334.
DOI
ISBN
978-1-4419-7045-9
Publication Date
March 15, 2011
Start / End Page
327 / 334
Publisher
Springer, New York, NY