Association analysis using somatic mutations

Somatic mutations drive the growth of tumor cells and are pivotal biomarkers for many cancer treatments. Genetic association analysis using somatic mutations is an effective approach to study the functional impact of somatic mutations. However, standard regression methods are not appropriate for som...

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Detalles Bibliográficos
Autores principales: Liu, Yang, He, Qianchan, Sun, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235399/
https://www.ncbi.nlm.nih.gov/pubmed/30388102
http://dx.doi.org/10.1371/journal.pgen.1007746

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235399/
https://www.ncbi.nlm.nih.gov/pubmed/30388102
http://dx.doi.org/10.1371/journal.pgen.1007746

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