Paper intensive reading (十四)：Batch effects in single-cell RNA-sequencing data are corrected

時間 2021-01-02

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論文題目：Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors scholar 引用：262 頁數：12 發表時間：2 April 2018 發表刊物：nature biotechnology 作者：Laleh Haghverdi1,2, Aaron T

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1. Paper intensive reading (十七)：Methods that remove batch effects may lead to exaggerated confidence
2. Paper intensive reading (十六)：Deep learning enables accurate clustering and batch effect removal
3. Paper reading (四十二)：Low Data Drug Discovery with One-Shot Learning
4. Paper reading (五十九)：Explaining Diversity in Meta-Data by Phylogenetic-Based Feature Weighting
5. Paper intensive reading (五)：A Review on Role of Microbiome in Obesity and Antiobesity Properties
6. Paper reading (五十七)：MetaNN accurate classification of host phenotypes from metagenomic data using NN
7. Paper reading (五十)：Supervised prediction of drug-induced nephrotoxicity
8. Paper reading (四十四)： Machine learning methods for metabolic pathway prediction
9. Paper intensive reading (九)：Toll-Like Receptor 7 Agonist GS-9620 Induces Prolonged Inhibition of HBV
10. Paper reading (三十)：A review on machine learning principles for multi-view biological data integratio

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