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。scLRTD : A Novel Low Rank Tensor Decomposition Method for Imputing Missing Values in Single-Cell Multi-Omics Sequencing Data
Zhijie Ni et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2022)
WEDGE: imputation of gene expression values from single-cell RNA-seq datasets using biased matrix decomposition
Yinlei Hu et al.
BRIEFINGS IN BIOINFORMATICS (2021)
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Juexin Wang et al.
NATURE COMMUNICATIONS (2021)
Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropouts
Lihua Zhang et al.
JOURNAL OF MOLECULAR CELL BIOLOGY (2021)
CMF-Impute: an accurate imputation tool for single-cell RNA-seq data
Junlin Xu et al.
BIOINFORMATICS (2020)
2DImpute: imputation in single-cell RNA-seq data from correlations in two dimensions
Kaiyi Zhu et al.
BIOINFORMATICS (2020)
scRMD: imputation for single cell RNA-seq data via robust matrix decomposition
Chong Chen et al.
BIOINFORMATICS (2020)
scIGANs: single-cell RNA-seq imputation using generative adversarial networks
Yungang Xu et al.
NUCLEIC ACIDS RESEARCH (2020)
Mclmpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data
Aanchal Mongia et al.
FRONTIERS IN GENETICS (2019)
Dimensionality reduction for visualizing single-cell data using UMAP
Etienne Becht et al.
NATURE BIOTECHNOLOGY (2019)
Single-cell RNA-seq denoising using a deep count autoencoder
Goekcen Eraslan et al.
NATURE COMMUNICATIONS (2019)
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
Cedric Arisdakessian et al.
GENOME BIOLOGY (2019)
DrImpute: imputing dropout events in single cell RNA sequencing data
Wuming Gong et al.
BMC BIOINFORMATICS (2018)
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
David van Dijk et al.
CELL (2018)
Mapping the Mouse Cell Atlas by Microwell-Seq
Xiaoping Han et al.
CELL (2018)
SAVER: gene expression recovery for single-cell RNA sequencing
Mo Huang et al.
NATURE METHODS (2018)
Structural absorption by barbule microstructures of super black bird of paradise feathers
Dakota E. McCoy et al.
NATURE COMMUNICATIONS (2018)
SCANPY: large-scale single-cell gene expression data analysis
F. Alexander Wolf et al.
GENOME BIOLOGY (2018)
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
Bo Wang et al.
NATURE METHODS (2017)
SC3: consensus clustering of single-cell RNA-seq data
Vladimir Yu Kiselev et al.
NATURE METHODS (2017)
Massively parallel digital transcriptional profiling of single cells
Grace X. Y. Zheng et al.
NATURE COMMUNICATIONS (2017)
Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity
Renchao Chen et al.
CELL REPORTS (2017)
Splatter: simulation of single-cell RNA sequencing data
Luke Zappia et al.
GENOME BIOLOGY (2017)
Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos
Sophie Petropoulos et al.
CELL (2016)
Mapping the Pairwise Choices Leading from Pluripotency to Human Bone, Heart, and Other Mesoderm Cell Types
Kyle M. Loh et al.
CELL (2016)
TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
Zhicheng Ji et al.
NUCLEIC ACIDS RESEARCH (2016)
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Amit Zeisel et al.
SCIENCE (2015)
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
Dmitry Usoskin et al.
NATURE NEUROSCIENCE (2015)
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
Greg Finak et al.
GENOME BIOLOGY (2015)
Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex
Alex A. Pollen et al.
NATURE BIOTECHNOLOGY (2014)
Tensor Completion for Estimating Missing Values in Visual Data
Ji Liu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells
Liying Yan et al.
NATURE STRUCTURAL & MOLECULAR BIOLOGY (2013)
Fixed point and Bregman iterative methods for matrix rank minimization
Shiqian Ma et al.
MATHEMATICAL PROGRAMMING (2011)
A SINGULAR VALUE THRESHOLDING ALGORITHM FOR MATRIX COMPLETION
Jian-Feng Cai et al.
SIAM JOURNAL ON OPTIMIZATION (2010)
Fast unfolding of communities in large networks
Vincent D. Blondel et al.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2008)
A multilinear singular value decomposition
L De Lathauwer et al.
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2000)