Description
Additional file 2 Visualization of feature sets. Fig. S1a: Visualization corresponding to protein feature vectors comprised from 1-g embedding vectors with perplexity equal to 25. Fig. S1b: Visualization corresponding to protein feature vectors comprised from 1-g embedding vectors with perplexity equal to 50. Fig. S2a: Visualization corresponding to protein feature vectors comprised from 2-g embedding vectors with perplexity equal to 25. Fig. S2b: Visualization corresponding to protein feature vectors comprised from 2-g embedding vectors with perplexity equal to 50. Fig. S3a: Visualization corresponding to protein feature vectors comprised from 3-g embedding vectors with perplexity equal to 25. Fig. S3b: Visualization corresponding to protein feature vectors comprised from 3-g embedding vectors with perplexity equal to 50. Fig. S4a: Visualization corresponding to protein feature vectors comprised from 4-g embedding vectors with perplexity equal to 25. Fig. S4b: Visualization corresponding to protein feature vectors comprised from 4-g embedding vectors with perplexity equal to 50. Fig. S5a: Visualization corresponding to protein feature vectors comprised from 5-g embedding vectors with perplexity equal to 25. Fig. S5b: Visualization corresponding to protein feature vectors comprised from 5-g embedding vectors with perplexity equal to 50. Fig. S6a: Visualization corresponding to protein feature vectors comprised from 1-g and 2-g embedding combined vectors with perplexity equal to 25. Fig. S6b: Visualization corresponding to protein feature vectors comprised from 1-g and 2-g embedding combined vectors with perplexity equal to 50. Fig. S7a: Visualization corresponding to protein feature vectors comprised from 1-g and 3-g embedding combined vectors with perplexity equal to 25. Fig. S7b: Visualization corresponding to protein feature vectors comprised from the combination of 1-g and 3-g embedding combined vectors with perplexity equal to 50. Fig. S8a: Visualization corresponding to protein feature vectors comprised from 2-g and 3-g embedding combined vectors with perplexity equal to 25. Fig. S8b: Visualization corresponding to protein feature vectors comprised from the combination of 2-g and 3-g embedding combined vectors with perplexity equal to 50.
| 可用日期 | 2020 |
|---|---|
| 發行者 | Figshare |
研究成果
- 1 文章
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TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. T. D., Le, N. Q. K., Ho, Q. T., Phan, D. V. & Ou, Y. Y., 10月 22 2020, 於: BMC Medical Genomics. 13, Suppl 10, p. 155 155.研究成果: 雜誌貢獻 › 文章 › 同行評審
開啟存取13 !!Link opens in a new tab 引文 斯高帕斯(Scopus)
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