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• Supervised clustering of high dimensional data using regularized mixture modeling
• A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression
• SSMD- A semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data
• RobMixReg-an R package for robust, flexible and high dimensional mixture regression
• Geometric All-Way Boolean Tensor Decomposition
• scFEA-A graph neural network model to estimate cell-wise metabolic flux using single cell RNA-seq data
• Denoising individual bias for a fairer binary submatrix detection