SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder
出版年份 2021 全文链接
标题
SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder
作者
关键词
-
出版物
Frontiers in Genetics
Volume 12, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2021-09-06
DOI
10.3389/fgene.2021.733906
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- GRMT: Generative Reconstruction of Mutation Tree From Scratch Using Single-Cell Sequencing Data
- (2021) Zhenhua Yu et al. Frontiers in Genetics
- Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization
- (2021) Chuan-Yuan Wang et al. IEEE Journal of Biomedical and Health Informatics
- PRIME: a probabilistic imputation method to reduce dropout effects in single cell RNA sequencing
- (2020) Hyundoo Jeong et al. BIOINFORMATICS
- Challenges in unsupervised clustering of single-cell RNA-seq data
- (2019) Vladimir Yu Kiselev et al. NATURE REVIEWS GENETICS
- Single-cell RNA-seq denoising using a deep count autoencoder
- (2019) Gökcen Eraslan et al. Nature Communications
- DrImpute: imputing dropout events in single cell RNA sequencing data
- (2018) Wuming Gong et al. BMC BIOINFORMATICS
- Mapping the Mouse Cell Atlas by Microwell-Seq
- (2018) Xiaoping Han et al. CELL
- Comparison of computational methods for imputing single-cell RNA-sequencing data
- (2018) Lihua Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- HetRCNA: a novel method to identify recurrent copy number alternations from heterogeneous tumor samples based on matrix decomposition framework
- (2018) Jianing Xi et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A general and flexible method for signal extraction from single-cell RNA-seq data
- (2018) Davide Risso et al. Nature Communications
- Dimensionality reduction for visualizing single-cell data using UMAP
- (2018) Etienne Becht et al. NATURE BIOTECHNOLOGY
- Comprehensive single-cell transcriptional profiling of a multicellular organism
- (2017) Junyue Cao et al. SCIENCE
- Massively parallel digital transcriptional profiling of single cells
- (2017) Grace X. Y. Zheng et al. Nature Communications
- Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
- (2015) Allon M. Klein et al. CELL
- Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
- (2015) A. Zeisel et al. SCIENCE
- mRNA-Seq whole-transcriptome analysis of a single cell
- (2009) Fuchou Tang et al. NATURE METHODS
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