Hidden Treasures in “Ancient” Microarrays: Gene-Expression Portrays Biology and Potential Resistance Pathways of Major Lung Cancer Subtypes and Normal Tissue

Objective: Novel statistical methods and increasingly more accurate gene annotations can transform “old” biological data into a renewed source of knowledge with potential clinical relevance. Here, we provide an in silico proof-of-concept by extracting novel information from a high-quality mRNA expre...

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Detalles Bibliográficos
Autores principales: Kerkentzes, Konstantinos, Lagani, Vincenzo, Tsamardinos, Ioannis, Vyberg, Mogens, Røe, Oluf Dimitri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178426/
https://www.ncbi.nlm.nih.gov/pubmed/25325012
http://dx.doi.org/10.3389/fonc.2014.00251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178426/
https://www.ncbi.nlm.nih.gov/pubmed/25325012
http://dx.doi.org/10.3389/fonc.2014.00251

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