Paper reading (五十七)：MetaNN accurate classification of host phenotypes from metagenomic data using NN
論文題目：MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks scholar 引用：2 頁數：14 發表時間：2019.06 發表刊物：BMC Bioinformatics 作者：Chieh Lo & Radu Marculescu 摘要： Backgroun
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相關文章
- 1. Paper reading (五十)：Supervised prediction of drug-induced nephrotoxicity
- 2. Paper reading (五十九)：Explaining Diversity in Meta-Data by Phylogenetic-Based Feature Weighting
- 3. Paper reading (四十五)：DT supported substructure prediction of metabolites from GC-MS profiles
- 4. Paper reading (七十五)：I sense overeating: Motif-based machine learning framework to detect overeating
- 5. Paper intensive reading (十六)：Deep learning enables accurate clustering and batch effect removal
- 6. Paper reading (三十一)：Personalized Nutrition by Prediction of Glycemic Responses（overview）
- 7. 【Paper Reading】Towards Accurate Binary Convolutional Neural
- 8. Paper reading (四十二)：Low Data Drug Discovery with One-Shot Learning
- 9. Paper reading (三十)：A review on machine learning principles for multi-view biological data integratio
- 10. 【Paper Reading】【EAST: An Efficient and Accurate Scene Text Detector】