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psupertime: supervised pseudotime inference for single cell RNA-seq data with sequential labels
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Outgoing claims: the papers this work cites, builds on, or argues with.
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ggplot2: Elegant Graphics for Data Analysis
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Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
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Identification of the characteristic amino-acid sequence for human α-amylase encoded by the AMY2B gene
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Differences in the Degree of Cerulein-Induced Chronic Pancreatitis in C57BL/6 Mouse Substrains Lead to New Insights in Identification of Potential Risk Factors in the Development of Chronic Pancreatitis
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Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
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Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos
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Single-Cell Analysis of Human Pancreas Reveals Transcriptional Signatures of Aging and Somatic Mutation Patterns
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Unsupervised Trajectory Analysis of Single-Cell RNA-Seq and Imaging Data Reveals Alternative Tuft Cell Origins in the Gut
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The Systems Biology of Single-Cell Aging
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Single-Cell RNA-Seq Analysis Maps Development of Human Germline Cells and Gonadal Niche Interactions
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Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
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Bayesian approach to single-cell differential expression analysis
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An accurate and robust imputation method scImpute for single-cell RNA-seq data
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Single-cell RNA-seq denoising using a deep count autoencoder
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A comparison of single-cell trajectory inference methods
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Batch effects and the effective design of single-cell gene expression studies
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Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
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Expression of Clusterin in Human Pancreatic Cancer
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Reconstruction of developmental landscapes by optimal-transport analysis of single-cell gene expression sheds light on cellular reprogramming
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Regression Shrinkage and Selection via The Lasso: A Retrospective
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Regression Models for Ordinal Data
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Regression Shrinkage and Selection Via the Lasso
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Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
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DrImpute: imputing dropout events in single cell RNA sequencing data
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Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
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f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
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DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
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Multivariate Adaptive Regression Splines
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Understanding development and stem cells using single cell-based analyses of gene expression
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A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor
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Regularization Paths for Generalized Linear Models via Coordinate Descent
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fastcluster : Fast Hierarchical, Agglomerative Clustering Routines for R and Python
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A Distributed Procedure for Computing Stochastic Expansions withMathematica
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mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models
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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Tracing colonic embryonic transcriptional profiles and their reactivation upon intestinal damage
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Alignment of single-cell trajectories by tuMap enables high-resolution quantitative comparison of cancer samples
inferred← citeshttps://doi.org/10.1016/j.coisb.2021.03.006openalex-snapshot
Current progress and potential opportunities to infer single-cell developmental trajectory and cell fate
inferred← citeshttps://doi.org/10.1016/j.isci.2020.101150openalex-snapshot
Random Parametric Perturbations of Gene Regulatory Circuit Uncover State Transitions in Cell Cycle
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Integrating single-cell genomics pipelines to discover mechanisms of stem cell differentiation
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Context specificity of the EMT transcriptional response
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Differential regulation of β-catenin-mediated transcription via N- and C-terminal co-factors governs identity of murine intestinal epithelial stem cells
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Rolling back human pluripotent stem cells to an eight-cell embryo-like stage
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Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition
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Dry eye disease in mice activates adaptive corneal epithelial regeneration distinct from constitutive renewal in homeostasis
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HIV-1 provirus transcription and translation in macrophages differs from pre-integrated cDNA complexes and requires E2F transcriptional programs
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Discrete regulation of β-catenin-mediated transcription governs identity of intestinal epithelial stem cells
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Deterministic scRNA-seq of individual intestinal organoids reveals new subtypes and coexisting distinct stem cell pools
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A Method for Detection of Markers for Epithelial-Mesenchymal Transition based on Single Cell Transcriptomic Data
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Defining Epithelial-Mesenchymal Plasticity in Cancer Using Single-Cell Genomics
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Detection of Biomarkers for Epithelial-Mesenchymal Transition with Single-Cell Trajectory Inference
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Modelling the geometry of high-dimensional omics data : dimensionality, subspaces, trajectories
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