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.
| Date made available | 2020 |
|---|---|
| Publisher | Figshare |
Research output
- 1 Article
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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., Oct 22 2020, In: BMC Medical Genomics. 13, Suppl 10, p. 155 155.Research output: Contribution to journal › Article › peer-review
Open Access13 Link opens in a new tab Citations (Scopus)
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