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DG-GL: Differential geometry-based geometric learning of molecular datasets
MOTIVATION: Despite its great success in various physical modeling, differential geometry (DG) has rarely been devised as a versatile tool for analyzing large, diverse, and complex molecular and biomolecular datasets because of the limited understanding of its potential power in dimensionality reduc...
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| Foilsithe in: | Int J Numer Method Biomed Eng |
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| Main Authors: | , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2019
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6598676/ https://ncbi.nlm.nih.gov/pubmed/30693661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cnm.3179 |
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