AWGE-ESPCA: An edge sparse PCA model based on adaptive noise elimination regularization and weighted gene network for Hermetia illucens genomic data analysis
Fig 5
Heatmaps comparing different methods for sample classification.
(A) the result of the AWGE-ESPCA model. (B) the result of the DM-ESPCA model. (C) the result of the AEs model. (D) the result of the VAEs model. (E) the result of the Lasso model. (F) the result of the Elastic Net model. The columns display two samples - P210 (P210_1, P210_2, P210_3) and T315 (T315_1, T315_2, T315_3). The rows display different genes.