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t-Distributed Stochastic Neighbor Embedding (t-SNE) Method with the Least Information Loss for Macromolecular Simulations
Dimensionality reduction methods are usually applied on molecular dynamics simulations of macromolecules for analysis and visualization purpose. It is normally desired that suitable dimensionality reduction methods could clearly distinguish functionally important states with different conformations...
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| 出版年: | J Chem Theory Comput |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6679899/ https://ncbi.nlm.nih.gov/pubmed/30252473 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jctc.8b00652 |
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