Paper reading (五十七)：MetaNN accurate classification of host phenotypes from metagenomic data using NN

时间 2021-01-13

标签 MetaNN 繁體版

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论文题目：MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks scholar 引用：2 页数：14 发表时间：2019.06 发表刊物：BMC Bioinformatics 作者：Chieh Lo & Radu Marculescu 摘要： Backgroun

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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】

>>更多相关文章<<