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Charting a tissue from single-cell transcriptomes
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-71050-9openalex-snapshot
Optimal Transport: Old and New
inferredcites →https://doi.org/10.1016/j.cell.2010.04.033openalex-snapshot
Cellular Heterogeneity: Do Differences Make a Difference?
inferredcites →https://doi.org/10.1016/j.cell.2014.03.036openalex-snapshot
Reconstruction of the Mouse Otocyst and Early Neuroblast Lineage at Single-Cell Resolution
inferredcites →https://doi.org/10.1016/j.cell.2018.08.063openalex-snapshot
Spatial Reconstruction of Single Enterocytes Uncovers Broad Zonation along the Intestinal Villus Axis
inferredcites →https://doi.org/10.1016/j.celrep.2015.04.062openalex-snapshot
Quantitative High-Resolution Cellular Map of the Organ of Corti
inferredcites →https://doi.org/10.1016/j.molcel.2015.04.005openalex-snapshot
The Technology and Biology of Single-Cell RNA Sequencing
inferredcites →https://doi.org/10.1038/550451aopenalex-snapshot
The Human Cell Atlas: from vision to reality
inferredcites →https://doi.org/10.1038/nature21065openalex-snapshot
Single-cell spatial reconstruction reveals global division of labour in the mammalian liver
inferredcites →https://doi.org/10.1038/nbt.3192openalex-snapshot
Spatial reconstruction of single-cell gene expression data
inferredcites →https://doi.org/10.1038/nbt.3209openalex-snapshot
High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin
inferredcites →https://doi.org/10.1038/nbt.3711openalex-snapshot
Revealing the vectors of cellular identity with single-cell genomics
inferredcites →https://doi.org/10.1038/nrg3542openalex-snapshot
Single-cell sequencing-based technologies will revolutionize whole-organism science
inferredcites →https://doi.org/10.1038/nrg3832openalex-snapshot
Spatially resolved transcriptomics and beyond
inferredcites →https://doi.org/10.1101/191056openalex-snapshot
Reconstruction of developmental landscapes by optimal-transport analysis of single-cell gene expression sheds light on cellular reprogramming
inferredcites →https://doi.org/10.1109/cvprw.2008.4563074openalex-snapshot
Gromov-Hausdorff distances in Euclidean spaces
inferredcites →https://doi.org/10.1126/science.290.5500.2319openalex-snapshot
A Global Geometric Framework for Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1126/science.aad7038openalex-snapshot
Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons
inferredcites →https://doi.org/10.1126/science.aan3235openalex-snapshot
The Drosophila embryo at single-cell transcriptome resolution
inferredcites →https://doi.org/10.1126/science.aan6827openalex-snapshot
The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
inferredcites →https://doi.org/10.1137/141000439openalex-snapshot
Iterative Bregman Projections for Regularized Transportation Problems
inferredcites →https://doi.org/10.2307/2314570openalex-snapshot
Diagonal Equivalence to Matrices with Prescribed Row and Column Sums
inferredcites →https://doi.org/10.2312/spbg/spbg07/081-090openalex-snapshot
On the use of Gromov-Hausdorff Distances for Shape Comparison
inferredcites →https://doi.org/10.48550/arxiv.1806.07348openalex-snapshot
Statistical Optimal Transport via Factored Couplings
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00439-020-02116-8openalex-snapshot
Evaluating genetic causes of azoospermia: What can we learn from a complex cellular structure and single-cell transcriptomics of the human testis?
inferred← citeshttps://doi.org/10.1016/j.cell.2019.11.019openalex-snapshot
Toward a Common Coordinate Framework for the Human Body
inferred← citeshttps://doi.org/10.1016/j.conb.2018.12.012openalex-snapshot
Neuronal cell types in the fly: single-cell anatomy meets single-cell genomics
inferred← citeshttps://doi.org/10.1038/s41592-020-0885-xopenalex-snapshot
Investigating higher-order interactions in single-cell data with scHOT
inferred← citeshttps://doi.org/10.1242/dev.176727openalex-snapshot
Exploring single cells in space and time during tissue development, homeostasis and regeneration
inferred← citeshttps://doi.org/10.12688/f1000research.20446.1openalex-snapshot
An unsupervised learning method for reconstructing cell spatial organization with application to the DREAM Single Cell Transcriptomics Challenge
inferred← citeshttps://doi.org/10.12688/f1000research.20446.2openalex-snapshot
Unsupervised gene selection for predicting cell spatial positions in the Drosophila embryo
inferred← citeshttps://doi.org/10.26508/lsa.202000867openalex-snapshot
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
inferred← citeshttps://doi.org/10.3390/genes12010028openalex-snapshot
Feature Selection for Topological Proximity Prediction of Single-Cell Transcriptomic Profiles in Drosophila Embryo Using Genetic Algorithm
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