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Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models.

, , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4372-4381. PMLR, (2019)

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12 Grand Challenges in Single-Cell Data Science., , , , , , , , , и 41 other автор(ы). PeerJ Prepr., (2019)A descriptive marker gene approach to single-cell pseudotime inference., и . Bioinform., 35 (1): 28-35 (2019)Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime Inference., и . PLoS Comput. Biol., (2016)Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows., и . Trans. Mach. Learn. Res., (2023)Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4372-4381. PMLR, (2019)switchde: inference of switch-like differential expression along single-cell trajectories., и . Bioinform., 33 (8): 1241-1242 (2017)Eleven grand challenges in single-cell data science, , , , , , , , , и 1 other автор(ы). Genome biology, 21 (1): 1--35 (2020)Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R., , , и . Bioinform., 33 (8): 1179-1186 (2017)Covariate Gaussian Process Latent Variable Models., , и . CoRR, (2018)