Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogramming
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogramming
Authors
Keywords
-
Journal
PLoS Computational Biology
Volume 16, Issue 1, Pages e1007491
Publisher
Public Library of Science (PLoS)
Online
2020-01-11
DOI
10.1371/journal.pcbi.1007491
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Data-Driven Model Reduction and Transfer Operator Approximation
- (2018) Stefan Klus et al. JOURNAL OF NONLINEAR SCIENCE
- Opportunities and obstacles for deep learning in biology and medicine
- (2018) Travers Ching et al. Journal of the Royal Society Interface
- Comparative Analysis of Single-Cell RNA Sequencing Methods
- (2017) Christoph Ziegenhain et al. MOLECULAR CELL
- Influence of node abundance on signaling network state and dynamics analyzed by mass cytometry
- (2017) Xiao-Kang Lun et al. NATURE BIOTECHNOLOGY
- Mass Cytometry: Single Cells, Many Features
- (2016) Matthew H. Spitzer et al. CELL
- Computational methods for trajectory inference from single-cell transcriptomics
- (2016) Robrecht Cannoodt et al. EUROPEAN JOURNAL OF IMMUNOLOGY
- Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition
- (2016) Bingni W. Brunton et al. JOURNAL OF NEUROSCIENCE METHODS
- Wishbone identifies bifurcating developmental trajectories from single-cell data
- (2016) Manu Setty et al. NATURE BIOTECHNOLOGY
- Dynamic Mode Decomposition with Control
- (2016) Joshua L. Proctor et al. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
- Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series
- (2016) Anna Klimovskaia et al. PLoS Computational Biology
- A Continuous Molecular Roadmap to iPSC Reprogramming through Progression Analysis of Single-Cell Mass Cytometry
- (2015) Eli R. Zunder et al. Cell Stem Cell
- A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition
- (2015) Matthew O. Williams et al. JOURNAL OF NONLINEAR SCIENCE
- Discovering dynamic patterns from infectious disease data using dynamic mode decomposition
- (2015) Joshua L. Proctor et al. International Health
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- (2013) El-ad David Amir et al. NATURE BIOTECHNOLOGY
- Moment-based inference predicts bimodality in transient gene expression
- (2012) C. Zechner et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Kernel density estimation via diffusion
- (2010) Z. I. Botev et al. ANNALS OF STATISTICS
- Dynamic mode decomposition of numerical and experimental data
- (2010) PETER J. SCHMID JOURNAL OF FLUID MECHANICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now