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Neural Data Visualization for Scalable and Generalizable Single Cell Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10479-011-0841-3openalex-snapshot
Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
inferredcites →https://doi.org/10.1016/j.cell.2015.04.044openalex-snapshot
Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
inferredcites →https://doi.org/10.1016/j.cell.2016.01.047openalex-snapshot
Heterogeneity in Oct4 and Sox2 Targets Biases Cell Fate in 4-Cell Mouse Embryos
inferredcites →https://doi.org/10.1016/j.celrep.2014.08.029openalex-snapshot
Single-Cell RNA Sequencing Identifies Extracellular Matrix Gene Expression by Pancreatic Circulating Tumor Cells
inferredcites →https://doi.org/10.1016/j.cels.2015.08.004openalex-snapshot
Entropy-Scaling Search of Massive Biological Data
inferredcites →https://doi.org/10.1016/j.procs.2015.05.325openalex-snapshot
Very Fast Interactive Visualization of Large Sets of High-dimensional Data
inferredcites →https://doi.org/10.1016/j.stem.2015.09.011openalex-snapshot
Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation
inferredcites →https://doi.org/10.1038/nature13173openalex-snapshot
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
inferredcites →https://doi.org/10.1038/nature13600openalex-snapshot
Clonal evolution in breast cancer revealed by single nucleus genome sequencing
inferredcites →https://doi.org/10.1038/nature14966openalex-snapshot
Single-cell messenger RNA sequencing reveals rare intestinal cell types
inferredcites →https://doi.org/10.1038/nbt.2594openalex-snapshot
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
inferredcites →https://doi.org/10.1038/nbt.2967openalex-snapshot
Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex
inferredcites →https://doi.org/10.1038/nbt.3102openalex-snapshot
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
inferredcites →https://doi.org/10.1038/nbt.4091openalex-snapshot
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
inferredcites →https://doi.org/10.1038/ncomms14049openalex-snapshot
Massively parallel digital transcriptional profiling of single cells
inferredcites →https://doi.org/10.1038/nmeth.4207openalex-snapshot
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
inferredcites →https://doi.org/10.1038/nmeth.4236openalex-snapshot
SC3: consensus clustering of single-cell RNA-seq data
inferredcites →https://doi.org/10.1038/nmeth.4402openalex-snapshot
Reversed graph embedding resolves complex single-cell trajectories
inferredcites →https://doi.org/10.1038/nn.3881openalex-snapshot
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
inferredcites →https://doi.org/10.1038/nprot.2016.066openalex-snapshot
Visualization and cellular hierarchy inference of single-cell data using SPADE
inferredcites →https://doi.org/10.1038/nrg.2015.16openalex-snapshot
Single-cell genome sequencing: current state of the science
inferredcites →https://doi.org/10.1038/srep39921openalex-snapshot
Batch effects and the effective design of single-cell gene expression studies
inferredcites →https://doi.org/10.1080/01621459.1971.10482356openalex-snapshot
Objective Criteria for the Evaluation of Clustering Methods
inferredcites →https://doi.org/10.1089/cmb.2015.0085openalex-snapshot
Discovering What Dimensionality Reduction Really Tells Us About RNA-Seq Data
inferredcites →https://doi.org/10.1101/114074openalex-snapshot
C. elegans exhibits coordinated oscillation in gene activation in single-cell developmental data
inferredcites →https://doi.org/10.1101/120378openalex-snapshot
Visualizing Structure and Transitions for Biological Data Exploration
inferredcites →https://doi.org/10.1101/gr.177725.114openalex-snapshot
Cell fate inclination within 2-cell and 4-cell mouse embryos revealed by single-cell RNA sequencing
inferredcites →https://doi.org/10.1126/science.1203163openalex-snapshot
Single-Cell Genomics Reveals Organismal Interactions in Uncultivated Marine Protists
inferredcites →https://doi.org/10.1126/science.1245316openalex-snapshot
Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
inferredcites →https://doi.org/10.1126/science.1247651openalex-snapshot
Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
inferredcites →https://doi.org/10.1126/science.1254257openalex-snapshot
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
inferredcites →https://doi.org/10.1126/science.aaa1934openalex-snapshot
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
inferredcites →https://doi.org/10.1126/science.aan6828openalex-snapshot
Single-cell transcriptomics to explore the immune system in health and disease
inferredcites →https://doi.org/10.1145/2872427.2883041openalex-snapshot
Visualizing Large-scale and High-dimensional Data
inferredcites →https://doi.org/10.1145/356924.356930openalex-snapshot
The Quadtree and Related Hierarchical Data Structures
inferredcites →https://doi.org/10.1186/gb-2012-13-8-r71openalex-snapshot
A gene expression profile of stem cell pluripotentiality and differentiation is conserved across diverse solid and hematopoietic cancers
inferredcites →https://doi.org/10.1186/s13059-015-0805-zopenalex-snapshot
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1704.01379openalex-snapshot
Exponential scaling of single-cell RNA-seq in the last decade
inferredcites →https://doi.org/10.5555/2627435.2697068openalex-snapshot
Accelerating t-SNE using tree-based algorithms
inferredcites →https://doi.org/10.7551/mitpress/8996.003.0015openalex-snapshot
The Tradeoffs of Large-Scale Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1038/s41587-019-0113-3openalex-snapshot
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
inferred← citeshttps://doi.org/10.1093/bioinformatics/btz864openalex-snapshot
Meta-analysis of Caenorhabditis elegans single-cell developmental data reveals multi-frequency oscillation in gene activation
inferred← citeshttps://doi.org/10.1101/114074openalex-snapshot
C. elegans exhibits coordinated oscillation in gene activation in single-cell developmental data
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377843openalex-snapshot
Sketch and Scale Geo-distributed tSNE and UMAP
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