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. 2020 Oct 30;6(44):eabd0855. doi: 10.1126/sciadv.abd0855

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Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

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Fig. 5 — (A) Geometric intuition for DCA-based learning and MDDM-based learning. (B) Visualization of clustering results by UMAP before and after MDDM-based transforming for the ESC (embryonic stem cells) dataset. (C) The micro_F1 of DCA-based scLearn and MDDM-based scLearn under two strategies for three multilabel datasets were presented. mEM, mouse embryo ventral midbrain cells; hPFC, human prefrontal cortex cells.