Name
Abstract | ||
|---|---|---|
•A novel deep mining model is proposed for knowledge discovery from omics data.•The proposed model is based on a Stacked Sparse Compressed Auto-Encoder.•A new weight interpretation method is introduced to deconstruct deep learning models.•Key determinants underlying the latent representations were discovered robustly.•The cancer markers demonstrate computational and biological relevance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.artmed.2020.101821 | Artificial Intelligence in Medicine |
Keywords | DocType | Volume |
Knowledge discovery,Data mining,AI,Deep learning,Omics data analysis,Predictive modelling,Precision medicine | Journal | 104 |
ISSN | Citations | PageRank |
0933-3657 | 1 | 0.38 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abeer Alzubaidi | 1 | 1 | 1.06 |
| Jonathan A. Tepper | 2 | 15 | 2.44 |
| Ahmad Lotfi | 3 | 88 | 20.21 |