ロード中...
Parallel Generative Topographic Mapping: An Efficient Approach for Big Data Handling
Generative Topographic Mapping (GTM) can be efficiently used to visualize, analyze and model large chemical data. The GTM manifold needs to span the chemical space deemed relevant for a given problem. Therefore, the Frame set (FS) of compounds used for the manifold construction must well cover a giv...
保存先:
| 出版年: | Mol Inform |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2020
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7757192/ https://ncbi.nlm.nih.gov/pubmed/32347666 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/minf.202000009 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|