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Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic data.
- Published in:
- Bioinformatics, 2022, v. 38, n. 4, p. 1045, doi. 10.1093/bioinformatics/btab795
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- Article
Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets.
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- Entropy, 2020, v. 22, n. 11, p. 1274, doi. 10.3390/e22111274
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- Article
Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph.
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- Entropy, 2020, v. 22, n. 3, p. 296, doi. 10.3390/e22030296
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- Article
Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data.
- Published in:
- GigaScience, 2020, v. 9, n. 11, p. 1, doi. 10.1093/gigascience/giaa128
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- Article
Lizard Brain: Tackling Locally Low-Dimensional Yet Globally Complex Organization of Multi-Dimensional Datasets.
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- Frontiers in Neurorobotics, 2020, v. 14, p. 1, doi. 10.3389/fnbot.2019.00110
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- Article
Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data.
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- Entropy, 2023, v. 25, n. 1, p. 33, doi. 10.3390/e25010033
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- Article
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation.
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- Entropy, 2021, v. 23, n. 10, p. 1368, doi. 10.3390/e23101368
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- Article