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Eleven grand challenges in single-cell data science, , , , , , , , , and 1 other author(s). Genome biology, 21 (1): 1--35 (2020)Design Principles for Data Analysis., , and . J. Comput. Graph. Stat., 32 (2): 754-761 (April 2023)TreeSummarizedExperiment: a S4 class for data with hierarchical structure., , , , , , and . F1000Research, (2020)12 Grand Challenges in Single-Cell Data Science., , , , , , , , , and 41 other author(s). PeerJ Prepr., (2019)Reproducibility standards for machine learning in the life sciences, , , , , and . Nature Methods, 18 (10): 1132-1135 (Oct 1, 2021)Fast and memory-efficient scRNA-seq k-means clustering with various distances., , , , and . BCB, page 24:1-24:8. ACM, (2021)A practical guide to methods controlling false discoveries in computational biology, , , , , , , , and . bioRxiv, (2018)A Guide to Teaching Data Science., and . CoRR, (2016)SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor., , , , , , , , and . Bioinform., 38 (11): 3128-3131 (2022)miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data., , , , , , , , and . PLoS Comput. Biol., (2021)