Cargando…

Bayesian Hierarchical Models for Protein Networks in Single-Cell Mass Cytometry

We propose a class of hierarchical models to investigate the protein functional network of cellular markers. We consider a novel data set from single-cell proteomics. The data are generated from single-cell mass cytometry experiments, in which protein expression is measured within an individual cell...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mitra, Riten, Müller, Peter, Qiu, Peng, Ji, Yuan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Libertas Academica 2014
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266200/ https://www.ncbi.nlm.nih.gov/pubmed/25574129 http://dx.doi.org/10.4137/CIN.S13984

Ejemplares similares

Nonparametric Bayesian inference in biostatistics
por: Mitra, Riten, et al.
Publicado: (2015)

Applications of Bayesian shrinkage prior models in clinical research with categorical responses
por: Bhattacharyya, Arinjita, et al.
Publicado: (2022)

Characterizing Cancer-Specific Networks by Integrating TCGA Data
por: Xu, Yanxun, et al.
Publicado: (2015)

BM-BC: a Bayesian method of base calling for Solexa sequence data
por: Ji, Yuan, et al.
Publicado: (2012)

Using Bayesian Networks to Model Hierarchical Relationships in Epidemiological Studies
por: Nguefack-Tsague, Georges
Publicado: (2011)

Bayesian hierarchical models: with applications using R
por: Congdon, Peter D
Publicado: (2019)

Bayesian graphical models for computational network biology
por: Ni, Yang, et al.
Publicado: (2018)

Single Cell Detection of the p53 Protein by Mass Cytometry
por: Fagerholt, Oda Helen Eck, et al.
Publicado: (2020)

Mass Cytometry for Detection of Silver at the Bacterial Single Cell Level
por: Guo, Yuting, et al.
Publicado: (2017)

Dynamic Networks from Hierarchical Bayesian Graph Clustering
por: Park, Yongjin, et al.
Publicado: (2010)

A Hierarchical Bayesian Model for Crowd Emotions
por: Urizar, Oscar J., et al.
Publicado: (2016)

Dissecting Response to Cancer Immunotherapy by Applying Bayesian Network Analysis to Flow Cytometry Data
por: Rodin, Andrei S., et al.
Publicado: (2021)

Hierarchical disruption in the Bayesian brain: Focal epilepsy and brain networks
por: Omidvarnia, Amir, et al.
Publicado: (2017)

Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types
por: van Unen, Vincent, et al.
Publicado: (2017)

Bayesian hierarchical modelling for inferring genetic interactions in yeast
por: Heydari, Jonathan, et al.
Publicado: (2015)

Cross-validation to select Bayesian hierarchical models in phylogenetics
por: Duchêne, Sebastián, et al.
Publicado: (2016)

Bayesian Hierarchical Random Effects Models in Forensic Science
por: Aitken, Colin G. G.
Publicado: (2018)

Immunoprofiling of Drosophila Hemocytes by Single-cell Mass Cytometry
por: Balog, József Á., et al.
Publicado: (2021)

Tracking human skill learning with a hierarchical Bayesian sequence model
por: Éltető, Noémi, et al.
Publicado: (2022)

Hierarchical Dynamic Bayesian Network-Based Fatigue Crack Propagation Modeling Considering Initial Defects
por: Xu, Yang, et al.
Publicado: (2022)

Hierarchical Bayesian myocardial perfusion quantification
por: Scannell, Cian M., et al.
Publicado: (2020)

A Bayesian hierarchical model for the population dynamics of coastal cod
por: Follestad, T
Publicado: (2003)

Evaluating scaling models in biology using hierarchical Bayesian approaches
por: Price, Charles A, et al.
Publicado: (2009)

HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
por: Wiecki, Thomas V., et al.
Publicado: (2013)

Comparing MCMC and INLA for disease mapping with Bayesian hierarchical models
por: De Smedt, Tom, et al.
Publicado: (2015)

Analysis of household data on influenza epidemic with Bayesian hierarchical model
por: Hsu, C.Y., et al.
Publicado: (2015)

Bayesian hierarchical models for disease mapping applied to contagious pathologies
por: Coly, Sylvain, et al.
Publicado: (2021)

A Hierarchical Bayesian Implementation of the Experience-Weighted Attraction Model
por: Zhang, Zhihao, et al.
Publicado: (2020)

ASHIC: hierarchical Bayesian modeling of diploid chromatin contacts and structures
por: Ye, Tiantian, et al.
Publicado: (2020)

A Model-Based Hierarchical Bayesian Approach to Sholl Analysis
por: VONKAENEL, ERIK, et al.
Publicado: (2023)

Bayesian hierarchical models and prior elicitation for fitting psychometric functions
por: Mezzetti, Maura, et al.
Publicado: (2023)

Bayesian Hierarchical Spatial Modeling of COVID-19 Cases in Bangladesh
por: Karim, Md. Rezaul, et al.
Publicado: (2023)

Bayesian hierarchical vector autoregressive models for patient-level predictive modeling
por: Lu, Feihan, et al.
Publicado: (2018)

Polymeric dipicolylamine based mass tags for mass cytometry
por: Zhang, Yefeng, et al.
Publicado: (2022)

Predicting Cell Populations in Single Cell Mass Cytometry Data
por: Abdelaal, Tamim, et al.
Publicado: (2019)

DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates
por: Peng, Hao, et al.
Publicado: (2017)

Bayesian analysis of meta-analytic models incorporating dependency: new approaches for the hierarchical Bayesian delta-splitting model
por: Junaidi, et al.
Publicado: (2020)

Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies
por: Lin, Lin, et al.
Publicado: (2016)

Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples
por: Cron, Andrew, et al.
Publicado: (2013)

Inferring on the Intentions of Others by Hierarchical Bayesian Learning
por: Diaconescu, Andreea O., et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_1rfp9a3keja6tuati46me7csq9