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SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics., , , , , , , , , и . Nucleic Acids Res., 29 (13): 2884-2898 (2001)Learning Binary Latent Variable Models: A Tensor Eigenpair Approach., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 2201-2210. PMLR, (2018)An implementation of a randomized algorithm for principal component analysis., , и . CoRR, (2014)ManiFeSt: Manifold-based Feature Selection for Small Data Sets., , , и . CoRR, (2022)Locally Sparse Neural Networks for Tabular Biomedical Data., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 25123-25153. PMLR, (2022)Few-Sample Feature Selection via Feature Manifold Learning., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 6296-6319. PMLR, (2023)GEASS: Neural causal feature selection for high-dimensional biological data., и . ICLR, OpenReview.net, (2023)Hyperbolic Procrustes Analysis Using Riemannian Geometry., , и . NeurIPS, стр. 5959-5971. (2021)Crowdsourcing Regression: A Spectral Approach., , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 5225-5242. PMLR, (2022)Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis., , , , , и . ACM Trans. Math. Softw., 43 (3): 28:1-28:14 (2017)