An in silico analytical study of lung cancer and smokers datasets from gene expression omnibus (GEO) for prediction of differentially expressed genes

Smoking is the leading cause of lung cancer development and several genes have been identified as potential biomarker for lungs cancer. Contributing to the present scientific knowledge of biomarkers for lung cancer two different data sets, i.e. GDS3257 and GDS3054 were downloaded from NCBI׳s GEO dat...

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Detalles Bibliográficos
Autores principales: Hasan, Atif Noorul, Ahmad, Mohammad Wakil, Madar, Inamul Hasan, Grace, B Leena, Hasan, Tarique Noorul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2015
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464538/
https://www.ncbi.nlm.nih.gov/pubmed/26124566
http://dx.doi.org/10.6026/97320630011229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464538/
https://www.ncbi.nlm.nih.gov/pubmed/26124566
http://dx.doi.org/10.6026/97320630011229

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