Efficient Dimensionality Reduction for High-Dimensional Network Estimation

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Consistent Individualized Feature Attribution for Tree Ensembles (2018, methodology): “ure 6A). For a dataset based on cognitive scores for Alzheimer’s disease SHAP values significantly outperform Saabas values (Figure 6B). This second dataset contains 200 gene expression module levels [4] as features and CERAD cognitive scores as labels [19]. 5.4 Identification of Influential Feature”
Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources (2020, methodology): “Methods for the detection of submodules that are tightly connected, but that need not be cliques as such, include module graphical Least Absolute Shrinkage and Selection Operator (LASSO), which has been used for gene expression data but can be extended to multi-omics contexts [114] and Louvain commu”
The value of prior knowledge in machine learning of complex network systems (2016, methodology): “The most relevant to our work are methods which utilize the underlying network structure of the data, such as [22, 23], however these methods make Gaussian assumptions which we wanted to avoid, and these methods are also unsupervised, which is not the problem we study.”