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Bayesian Gaussian Process Latent Variable Models for pseudotime inference in 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.
inferredcites →https://doi.org/10.1016/j.cell.2014.04.005openalex-snapshot
Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
inferredcites →https://doi.org/10.1017/cbo9780511984679.002openalex-snapshot
Inference and estimation in probabilistic time series models
inferredcites →https://doi.org/10.1017/cbo9780511984679.015openalex-snapshot
Markov chain Monte Carlo algorithms for Gaussian processes
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/nbt.2859openalex-snapshot
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
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.3154openalex-snapshot
Decoding the regulatory network of early blood development from single-cell gene expression measurements
inferredcites →https://doi.org/10.1038/nrg3833openalex-snapshot
Computational and analytical challenges in single-cell transcriptomics
inferredcites →https://doi.org/10.1093/bioinformatics/btw372openalex-snapshot
Pseudotime estimation: deconfounding single cell time series
inferredcites →https://doi.org/10.1101/027219openalex-snapshot
Laplacian eigenmaps and principal curves for high resolution pseudotemporal ordering of single-cell RNA-seq profiles
inferredcites →https://doi.org/10.1162/089976603321780317openalex-snapshot
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
inferredcites →https://doi.org/10.1371/journal.pgen.1004126openalex-snapshot
Single Cell Genomics: Advances and Future Perspectives
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/bit.28854openalex-snapshot
Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays
inferred← citeshttps://doi.org/10.1007/978-1-4939-9057-3_10openalex-snapshot
Inference of Gene Co-expression Networks from Single-Cell RNA-Sequencing Data
inferred← citeshttps://doi.org/10.1007/s11222-023-10225-3openalex-snapshot
Variational Tobit Gaussian Process Regression
inferred← citeshttps://doi.org/10.1007/s11222-025-10644-4openalex-snapshot
DGP-LVM: Derivative Gaussian process latent variable models
inferred← citeshttps://doi.org/10.1007/s11222-026-10869-xopenalex-snapshot
Hilbert space methods for approximating multi-output latent variable Gaussian processes
inferred← citeshttps://doi.org/10.1038/s41587-019-0071-9openalex-snapshot
A comparison of single-cell trajectory inference methods
inferred← citeshttps://doi.org/10.1093/bioinformatics/btw372openalex-snapshot
Pseudotime estimation: deconfounding single cell time series
inferred← citeshttps://doi.org/10.1093/bioinformatics/btw729openalex-snapshot
LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering
inferred← citeshttps://doi.org/10.1101/057778openalex-snapshot
Topslam: Waddington Landscape Recovery for Single Cell Experiments
inferred← citeshttps://doi.org/10.1101/074971openalex-snapshot
Temporal mixture modelling of single-cell RNA-seq data resolves a CD4 + T cell fate bifurcation
inferred← citeshttps://doi.org/10.1101/167684openalex-snapshot
Bayesian inference of transcriptional branching identifies regulators of early germ cell development in humans
inferred← citeshttps://doi.org/10.1111/biom.13843openalex-snapshot
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks
inferred← citeshttps://doi.org/10.1186/s12859-017-1790-xopenalex-snapshot
Bayesian Unidimensional Scaling for visualizing uncertainty in high dimensional datasets with latent ordering of observations
inferred← citeshttps://doi.org/10.1242/dev.170506openalex-snapshot
Concepts and limitations for learning developmental trajectories from single cell genomics
inferred← citeshttps://doi.org/10.12688/wellcomeopenres.11087.1openalex-snapshot
Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzers
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1005212openalex-snapshot
Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime Inference
inferred← citeshttps://doi.org/10.1609/aaai.v34i06.6576openalex-snapshot
Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction
inferred← citeshttps://doi.org/10.48550/arxiv.1908.04030openalex-snapshot
Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures
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