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Eleven grand challenges in single-cell data science

, , , , , , , , , , и . Genome biology, 21 (1): 1--35 (2020)

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12 Grand Challenges in Single-Cell Data Science., , , , , , , , , и 41 other автор(ы). PeerJ Prepr., (2019)Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models., , , , , , , , и . MICCAI (3), том 13433 из Lecture Notes in Computer Science, стр. 14-24. Springer, (2022)Testing significance relative to a fold-change threshold is a TREAT., и . Bioinform., 25 (6): 765-771 (2009)Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R., , , и . Bioinform., 33 (8): 1179-1186 (2017)Eleven grand challenges in single-cell data science, , , , , , , , , и 1 other автор(ы). Genome biology, 21 (1): 1--35 (2020)Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset., , , и . CoRR, (2023)Count-based differential expression analysis of RNA sequencing data using R and Bioconductor, , , , , , и . Nature Protocols, (августа 2013)BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation., , , , , , , , и . CoRR, (2022)Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation., , , , , , , , , и . MICCAI (3), том 13433 из Lecture Notes in Computer Science, стр. 3-13. Springer, (2022)