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GENE PREDICTION IN HETEROGENEOUS CANCER TISSUES AND ESTABLISHMENT OF LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR MODEL FOR LUNG SQUAMOUS CELL CARCINOMA
International Journal of Pharma and Bio Sciences
This study is aimed to establish a Least Absolute Shrinkage and Selection Operator (LASSO) model based on tumor heterogeneity to predict the best features of LUSC in various cancer subtypes. The RNASeq data of 505 LUSC cancer samples were downloaded from the TCGA database. Subsequent to the identification of differentially expressed genes (DEGs), the samples were divided into two subtypes based on the consensus clustering method. The subtypes were estimated with the abundance of immune anddoi:10.22376/ijpbs/lpr.2019.9.4.l34-48 fatcat:3qbe6s3jzvdn5njvg4nohx3cwy