Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models

@inproceedings{Gonzlez2019FeatureSA,
  title={Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models},
  author={Sara Gonz{\'a}lez and Daniel Castillo and Juan Manuel G{\'a}lvez and Ignacio Rojas and Luis Javier Herrera},
  booktitle={IWANN},
  year={2019}
}
The main goal of this study is the identification of a robust set of genes having the capability of discerning among the different sub-types of lung cancer: Small Cell Lung Carcinoma (SCLC), Adenocarcinoma (ACC), Squamous Cell Carcinoma (SCC) and Large Cell Lung Carcinoma (LCLC). To achieve this goal, an overall differentially expressed genes analysis was performed by using data from gene expression microarrays publicly stored at NCBI/GEO platform. Once the analysis was done, a total of 60… Expand
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