Lineage EM algorithm for inferring latent states from cellular lineage trees
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Lineage EM algorithm for inferring latent states from cellular lineage trees
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-01-16
DOI
10.1093/bioinformatics/btaa040
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Leveraging and coping with uncertainty in the response of individual cells to therapy
- (2018) José Reyes et al. CURRENT OPINION IN BIOTECHNOLOGY
- Individuality and slow dynamics in bacterial growth homeostasis
- (2018) Lee Susman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Phenotypic Plasticity, Bet-Hedging, and Androgen Independence in Prostate Cancer: Role of Non-Genetic Heterogeneity
- (2018) Mohit Kumar Jolly et al. Frontiers in Oncology
- Clustering of samples with a tree-shaped dependence structure, with an application to microscopic time lapse imaging
- (2018) Henrik Failmezger et al. BIOINFORMATICS
- Making sense of snapshot data: ergodic principle for clonal cell populations
- (2017) Philipp Thomas Journal of the Royal Society Interface
- Taking chances and making mistakes: non-genetic phenotypic heterogeneity and its consequences for surviving in dynamic environments
- (2017) Coco van Boxtel et al. Journal of the Royal Society Interface
- Synthetic recording and in situ readout of lineage information in single cells
- (2017) Kirsten L. Frieda et al. NATURE
- Persistent bacterial infections and persister cells
- (2017) Robert A. Fisher et al. NATURE REVIEWS MICROBIOLOGY
- Inferring fitness landscapes and selection on phenotypic states from single-cell genealogical data
- (2017) Takashi Nozoe et al. PLoS Genetics
- Predicting evolution
- (2017) Michael Lässig et al. Nature Ecology & Evolution
- Noise-driven growth rate gain in clonal cellular populations
- (2016) Mikihiro Hashimoto et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Mechanisms of bacterial persistence during stress and antibiotic exposure
- (2016) Alexander Harms et al. SCIENCE
- Nonparametric estimation of the division rate of an age dependent branching process
- (2016) Marc Hoffmann et al. STOCHASTIC PROCESSES AND THEIR APPLICATIONS
- Inferring Cell-State Transition Dynamics from Lineage Trees and Endpoint Single-Cell Measurements
- (2016) Sahand Hormoz et al. Cell Systems
- Cell-Size Control and Homeostasis in Bacteria
- (2015) Sattar Taheri-Araghi et al. CURRENT BIOLOGY
- Pathwise thermodynamic structure in population dynamics
- (2015) Yuki Sughiyama et al. PHYSICAL REVIEW E
- Inferring epigenetic dynamics from kin correlations
- (2015) Sahand Hormoz et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Dynamic Persistence of Antibiotic-Stressed Mycobacteria
- (2013) Y. Wakamoto et al. SCIENCE
- Persistence: mechanisms for triggering and enhancing phenotypic variability
- (2011) NQ Balaban CURRENT OPINION IN GENETICS & DEVELOPMENT
- OPTIMAL LINEAGE PRINCIPLE FOR AGE-STRUCTURED POPULATIONS
- (2011) Yuichi Wakamoto et al. EVOLUTION
- A Chromatin-Mediated Reversible Drug-Tolerant State in Cancer Cell Subpopulations
- (2010) Sreenath V. Sharma et al. CELL
- Robust Growth of Escherichia coli
- (2010) Ping Wang et al. CURRENT BIOLOGY
- Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cells
- (2010) Y. Taniguchi et al. SCIENCE
- Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages
- (2009) Victor Olariu et al. BIOINFORMATICS
- Non-genetic heterogeneity — a mutation-independent driving force for the somatic evolution of tumours
- (2009) Amy Brock et al. NATURE REVIEWS GENETICS
- Tracking lineages of single cells in lines using a microfluidic device
- (2009) A. C. Rowat et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
- (2008) Arjun Raj et al. CELL
- The stochastic nature of biochemical networks
- (2008) Vahid Shahrezaei et al. CURRENT OPINION IN BIOTECHNOLOGY
Add 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 NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started