WebBlock parameter of the block HSIC Lasso M: int (optional), default=3 Permutation parameter of the block HSIC Lasso Note: B=0 and M=1 is the vanilla HSIC Lasso n_jobs: int (optional), default=-1 Number of parallel computations of the kernel matrices kernels: list (optional), default= ['Gaussian'] Kernel function of input data get_index_score () WebMay 19, 2024 · The HSIC Lasso-based prediction model showed better predictive power than the other prediction models, including Lasso, support vector machine, partial least squares, random forest, and neural ...
arXiv:1202.0515v4 [stat.ML] 4 Jan 2024
WebOct 26, 2024 · Multi-task Graphical Lasso is designed for collectively estimating graphs sharing an identical set of variables, but it fails to contend with the situation when the tasks include different variables. ... We propose efficient solving algorithms to solve MAGL-LogDet and MAGL-HSIC using block coordinate descent. Numerical experiments on synthetic ... http://proceedings.mlr.press/v139/freidling21a/freidling21a.pdf incomplete research
Block HSIC Lasso: model-free biomarker detection for ultra …
WebBlock HSIC Lasso: model-free biomarker detection for ultra-high dimensional data AboutPressCopyrightContact usCreatorsAdvertiseDevelopersTermsPrivacyPolicy & … WebMar 29, 2024 · As a proof of concept, we applied block HSIC Lasso to a single-cell RNA sequencing experiment on mouse hippocampus. We discovered that many genes linked in the past to brain development and function are involved in the biological differences between the types of neurons. WebJul 3, 2024 · ber of samples was high, we employed the block HSIC Lasso [4], where B denotes the tuning parameter of the block HSIC. Lasso, and B = n is equivalent to the standard HSIC Lasso [25]. inchydoney b\\u0026b