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。cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data
Carmen Bravo Gonzalez-Blas et al.
NATURE METHODS (2019)
Two-phase differential expression analysis for single cell RNA-seq
Zhijin Wu et al.
BIOINFORMATICS (2018)
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Andrew Butler et al.
NATURE BIOTECHNOLOGY (2018)
BEARscc determines robustness of single-cell clusters using simulated technical replicates
D. T. Severson et al.
NATURE COMMUNICATIONS (2018)
A general and flexible method for signal extraction from single-cell RNA-seq data
Davide Risso et al.
NATURE COMMUNICATIONS (2018)
Single-cell transcriptomes identify human islet cell signatures and reveal cell-type specific expression changes in type 2 diabetes
Nathan Lawlor et al.
GENOME RESEARCH (2017)
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)
The Drosophila embryo at single-cell transcriptome resolution
Nikos Karaiskos et al.
SCIENCE (2017)
Massively parallel digital transcriptional profiling of single cells
Grace X. Y. Zheng et al.
NATURE COMMUNICATIONS (2017)
Visualizing the structure of RNA-seq expression data using grade of membership models
Kushal K. Dey et al.
PLOS GENETICS (2017)
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data
Peijie Lin et al.
GENOME BIOLOGY (2017)
Beta-Poisson model for single-cell RNA-seq data analyses
Trung Nghia Vu et al.
BIOINFORMATICS (2016)
CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data
David A. duVerle et al.
BMC BIOINFORMATICS (2016)
Single-cell genome sequencing: current state of the science
Charles Gawad et al.
NATURE REVIEWS GENETICS (2016)
TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
Zhicheng Ji et al.
NUCLEIC ACIDS RESEARCH (2016)
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko et al.
CELL (2015)
Single-Cell RNA-Seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis
Jaehoon Shin et al.
CELL STEM CELL (2015)
Spatial reconstruction of single-cell gene expression data
Rahul Satija et al.
NATURE BIOTECHNOLOGY (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)
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis
Emma Pierson et al.
GENOME BIOLOGY (2015)
Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
Sean C. Bendall et al.
CELL (2014)
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
Cole Trapnell et al.
NATURE BIOTECHNOLOGY (2014)
Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
Eugenio Marco et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
Simone Picelli et al.
NATURE METHODS (2013)
Single-cell sequencing-based technologies will revolutionize whole-organism science
Ehud Shapiro et al.
NATURE REVIEWS GENETICS (2013)
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
Daniel Ramskold et al.
NATURE BIOTECHNOLOGY (2012)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
Dendritic cells: Specialized and regulated antigen processing machines
I Mellman et al.
CELL (2001)