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Mathematical modeling with single-cell sequencing data
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Identification of the chimeric protein product of the CBFB‐MYH11 fusion gene in inv(16) leukemia cells
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Randomized Algorithms with Splitting: Why the Classic Randomized Algorithms Do Not Work and How to Make them Work
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The Generalized Cross Entropy Method, with Applications to Probability Density Estimation
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Cell cycle regulation of hematopoietic stem or progenitor cells
inferredcites →https://doi.org/10.1016/j.ccr.2005.12.014openalex-snapshot
Cbfβ-SMMHC induces distinct abnormal myeloid progenitors able to develop acute myeloid leukemia
inferredcites →https://doi.org/10.1016/j.cell.2015.11.013openalex-snapshot
Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
inferredcites →https://doi.org/10.1016/j.cell.2019.01.006openalex-snapshot
Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming
inferredcites →https://doi.org/10.1016/j.cels.2016.10.015openalex-snapshot
Inferring Cell-State Transition Dynamics from Lineage Trees and Endpoint Single-Cell Measurements
inferredcites →https://doi.org/10.1016/j.exphem.2004.07.023openalex-snapshot
Estimating human hematopoietic stem cell kinetics using granulocyte telomere lengths
inferredcites →https://doi.org/10.1016/j.stem.2007.07.005openalex-snapshot
Elucidation of the Phenotypic, Functional, and Molecular Topography of a Myeloerythroid Progenitor Cell Hierarchy
inferredcites →https://doi.org/10.1016/j.stemcr.2018.07.003openalex-snapshot
High-Resolution Single-Cell DNA Methylation Measurements Reveal Epigenetically Distinct Hematopoietic Stem Cell Subpopulations
inferredcites →https://doi.org/10.1016/s0308-2261(21)00148-xopenalex-snapshot
Kinetics of Granulocytopoiesis
inferredcites →https://doi.org/10.1038/13776openalex-snapshot
The fusion gene Cbfb-MYH11 blocks myeloid differentiation and predisposes mice to acute myelomonocytic leukaemia
inferredcites →https://doi.org/10.1038/35004599openalex-snapshot
A clonogenic common myeloid progenitor that gives rise to all myeloid lineages
inferredcites →https://doi.org/10.1038/bmt.2013.138openalex-snapshot
The impact of CD34+ cell dose on engraftment after SCTs: personalized estimates based on mathematical modeling
inferredcites →https://doi.org/10.1038/nature20598openalex-snapshot
A 17-gene stemness score for rapid determination of risk in acute leukaemia
inferredcites →https://doi.org/10.1038/ncomms14049openalex-snapshot
Massively parallel digital transcriptional profiling of single cells
inferredcites →https://doi.org/10.1038/ncomms15599openalex-snapshot
Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
inferredcites →https://doi.org/10.1038/nmeth.3971openalex-snapshot
Diffusion pseudotime robustly reconstructs lineage branching
inferredcites →https://doi.org/10.1038/nprot.2017.149openalex-snapshot
Exponential scaling of single-cell RNA-seq in the past decade
inferredcites →https://doi.org/10.1038/nri.2017.76openalex-snapshot
Single-cell RNA sequencing to explore immune cell heterogeneity
inferredcites →https://doi.org/10.1038/s41467-018-06052-0openalex-snapshot
Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq
inferredcites →https://doi.org/10.1038/s41467-018-07261-3openalex-snapshot
Longitudinal single-cell RNA sequencing of patient-derived primary cells reveals drug-induced infidelity in stem cell hierarchy
inferredcites →https://doi.org/10.1038/s41576-018-0088-9openalex-snapshot
Challenges in unsupervised clustering of single-cell RNA-seq data
inferredcites →https://doi.org/10.1038/s41576-019-0093-7openalex-snapshot
Integrative single-cell analysis
inferredcites →https://doi.org/10.1038/s41576-019-0122-6openalex-snapshot
Deep learning: new computational modelling techniques for genomics
inferredcites →https://doi.org/10.1038/s41586-018-0414-6openalex-snapshot
RNA velocity of single cells
inferredcites →https://doi.org/10.1038/s41587-019-0068-4openalex-snapshot
Characterization of cell fate probabilities in single-cell data with Palantir
inferredcites →https://doi.org/10.1038/s41587-019-0071-9openalex-snapshot
A comparison of single-cell trajectory inference methods
inferredcites →https://doi.org/10.1038/s41587-019-0088-0openalex-snapshot
Inferring population dynamics from single-cell RNA-sequencing time series data
inferredcites →https://doi.org/10.1038/s41598-018-27893-1openalex-snapshot
Climate-induced shifts in leaf unfolding and frost risk of European trees and shrubs
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Determining Relative Dynamic Stability of Cell States Using Boolean Network Model
inferredcites →https://doi.org/10.1038/s41598-019-46296-4openalex-snapshot
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
inferredcites →https://doi.org/10.1073/pnas.0500334102openalex-snapshot
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
inferredcites →https://doi.org/10.1073/pnas.1408993111openalex-snapshot
Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
inferredcites →https://doi.org/10.1080/23737867.2018.1472532openalex-snapshot
Modelling acute myeloid leukaemia in a continuum of differentiation states
inferredcites →https://doi.org/10.1083/jcb.201102131openalex-snapshot
Cell cycle regulation in hematopoietic stem cells
inferredcites →https://doi.org/10.1088/1478-3975/ab1a09openalex-snapshot
The 2019 mathematical oncology roadmap
inferredcites →https://doi.org/10.1093/bioinformatics/btv325openalex-snapshot
Diffusion maps for high-dimensional single-cell analysis of differentiation data
inferredcites →https://doi.org/10.1093/bioinformatics/btx232openalex-snapshot
HopLand: single-cell pseudotime recovery using continuous Hopfield network-based modeling of Waddington’s epigenetic landscape
inferredcites →https://doi.org/10.1093/bioinformatics/bty058openalex-snapshot
scEpath: energy landscape-based inference of transition probabilities and cellular trajectories from single-cell transcriptomic data
inferredcites →https://doi.org/10.1093/oso/9780198523963.001.0001openalex-snapshot
Applied Smoothing Techniques for Data Analysis
inferredcites →https://doi.org/10.1098/rsif.2012.0434openalex-snapshot
Quasi-potential landscape in complex multi-stable systems
inferredcites →https://doi.org/10.1101/057778openalex-snapshot
Topslam: Waddington Landscape Recovery for Single Cell Experiments
inferredcites →https://doi.org/10.1101/696724openalex-snapshot
Mapping Transcriptomic Vector Fields of Single Cells
inferredcites →https://doi.org/10.1126/science.8351518openalex-snapshot
Fusion Between Transcription Factor CBFβ/PEBP2β and a Myosin Heavy Chain in Acute Myeloid Leukemia
inferredcites →https://doi.org/10.1137/100816584openalex-snapshot
A Structured Population Model of Cell Differentiation
inferredcites →https://doi.org/10.1182/blood-2007-07-104422openalex-snapshot
Cbfβ-SMMHC impairs differentiation of common lymphoid progenitors and reveals an essential role for RUNX in early B-cell development
inferredcites →https://doi.org/10.1182/blood-2015-11-683649openalex-snapshot
GPR56 identifies primary human acute myeloid leukemia cells with high repopulating potential in vivo
inferredcites →https://doi.org/10.1182/blood-2016-01-693119openalex-snapshot
CBFβ-SMMHC creates aberrant megakaryocyte-erythroid progenitors prone to leukemia initiation in mice
inferredcites →https://doi.org/10.1182/blood-2016-05-716480openalex-snapshot
A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
inferredcites →https://doi.org/10.1186/s12918-018-0595-5openalex-snapshot
Landscape reveals critical network structures for sharpening gene expression boundaries
inferredcites →https://doi.org/10.1186/s13059-019-1663-xopenalex-snapshot
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
inferredcites →https://doi.org/10.1186/s13059-019-1795-zopenalex-snapshot
A comparison of automatic cell identification methods for single-cell RNA sequencing data
inferredcites →https://doi.org/10.1200/cci.18.00074openalex-snapshot
Leveraging Single-Cell RNA Sequencing Experiments to Model Intratumor Heterogeneity
inferredcites →https://doi.org/10.1371/journal.pbio.1002469openalex-snapshot
Distinct Global Brain Dynamics and Spatiotemporal Organization of the Salience Network
inferredcites →https://doi.org/10.1371/journal.pbio.2000640openalex-snapshot
Cell Fate Decision as High-Dimensional Critical State Transition
inferredcites →https://doi.org/10.1371/journal.pcbi.1006405openalex-snapshot
Transition state characteristics during cell differentiation
inferredcites →https://doi.org/10.1371/journal.pcbi.1006935openalex-snapshot
CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer
inferredcites →https://doi.org/10.1371/journal.pone.0098679openalex-snapshot
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software
inferredcites →https://doi.org/10.2307/1270572openalex-snapshot
Applied Smoothing Techniques for Data Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1038/s42003-023-04837-8openalex-snapshot
Morphodynamical cell state description via live-cell imaging trajectory embedding
inferred← citeshttps://doi.org/10.1098/rsif.2020.0652openalex-snapshot
Identifiability analysis for stochastic differential equation models in systems biology
inferred← citeshttps://doi.org/10.1101/2021.10.07.463498openalex-snapshot
Morphodynamical cell state description via live-cell imaging trajectory embedding
inferred← citeshttps://doi.org/10.1101/696724openalex-snapshot
Mapping Transcriptomic Vector Fields of Single Cells
inferred← citeshttps://doi.org/10.1146/annurev-genet-021920-110200openalex-snapshot
Measuring and Modeling Single-Cell Heterogeneity and Fate Decision in Mouse Embryos
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1010031openalex-snapshot
Towards reliable quantification of cell state velocities
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