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K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
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Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
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Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
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Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
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Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
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CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear Amplification
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A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure
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Comparative Analysis of Single-Cell RNA Sequencing Methods
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IL-7 signaling and CD127 receptor regulation in the control of T cell homeostasis
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Massively parallel digital transcriptional profiling of single cells
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mRNA-Seq whole-transcriptome analysis of a single cell
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Quantitative single-cell RNA-seq with unique molecular identifiers
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Validation of noise models for single-cell transcriptomics
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Bayesian approach to single-cell differential expression analysis
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Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis
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Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput
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Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations
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Exponential scaling of single-cell RNA-seq in the past decade
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A general and flexible method for signal extraction from single-cell RNA-seq data
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An accurate and robust imputation method scImpute for single-cell RNA-seq data
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RNA velocity of single cells
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Single-cell gene expression reveals a landscape of regulatory T cell phenotypes shaped by the TCR
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Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
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Cluster analysis and display of genome-wide expression patterns
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Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq
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Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
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Comprehensive single-cell transcriptional profiling of a multicellular organism
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Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
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ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis
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CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
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Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
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Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads
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Transformations Related to the Angular and the Square Root
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GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge
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Accelerating t-SNE using tree-based algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments
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An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation
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DSAE-Impute: Learning Discriminative Stacked Autoencoders for Imputing Single-cell RNA-seq Data
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langevitour: Smooth Interactive Touring of High Dimensions, Demonstrated with scRNA-Seq Data
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Digital Twins : High Resolution Disease Models for Optimized Diagnosis and Treatment
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Understanding the Adult Mammalian Heart at Single-Cell RNA-Seq Resolution
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Early Transcriptional Landscapes of Chlamydia trachomatis-Infected Epithelial Cells at Single Cell Resolution
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Pan-Cancer and Single-Cell Modeling of Genomic Alterations Through Gene Expression
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Imputation Methods for scRNA Sequencing Data
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Diffusion on PCA-UMAP Manifold: The Impact of Data Structure Preservation to Denoise High-Dimensional Single-Cell RNA Sequencing Data
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Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology
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Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology
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Pan-cancer virtual spatial transcriptomics from routine histology with Phoenix
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