Novel analytical methods to interpret large sequencing data from small sample sizes

Novel analytical methods to interpret large sequencing data from small sample sizes

Abstract Background Targeted therapies have greatly improved cancer patient prognosis. For instance, chronic myeloid leukemia is now well treated with imatinib, a tyrosine kinase inhibitor. Around 80% of the patients reach complete remission. However, despite its great efficiency, some patients are...

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Bibliographic Details
Main Authors: Florence Lichou, Sébastien Orazio, Stéphanie Dulucq, Gabriel Etienne, Michel Longy, Christophe Hubert, Alexis Groppi, Alain Monnereau, François-Xavier Mahon, Béatrice Turcq
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Human Genomics
Subjects:
Chronic myeloid leukemia
Next-generation sequencing
Pharmacogenetics
Small sample size
Statistics
Factorial correspondence analysis
Online Access:http://link.springer.com/article/10.1186/s40246-019-0235-1

Internet

http://link.springer.com/article/10.1186/s40246-019-0235-1

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