Cargando…

Synthetic data generation with probabilistic Bayesian Networks

Bayesian Network (BN) modeling is a prominent and increasingly popular computational systems biology method. It aims to construct network graphs from the large heterogeneous biological datasets that reflect the underlying biological relationships. Currently, a variety of strategies exist for evaluat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gogoshin, Grigoriy, Branciamore, Sergio, Rodin, Andrei S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848551/ https://www.ncbi.nlm.nih.gov/pubmed/34814315 http://dx.doi.org/10.3934/mbe.2021426

Ejemplares similares

Intrinsic Properties of tRNA Molecules as Deciphered via Bayesian Network and Distribution Divergence Analysis
por: Branciamore, Sergio, et al.
Publicado: (2018)

New Analysis Framework Incorporating Mixed Mutual Information and Scalable Bayesian Networks for Multimodal High Dimensional Genomic and Epigenomic Cancer Data
por: Wang, Xichun, et al.
Publicado: (2020)

Analysis of high-resolution 3D intrachromosomal interactions aided by Bayesian network modeling
por: Zhang, Xizhe, et al.
Publicado: (2017)

Dependency Between Protein–Protein Interactions and Protein Variability and Evolutionary Rates in Vertebrates: Observed Relationships and Stochastic Modeling
por: Wang, Xichun, et al.
Publicado: (2019)

New Algorithm and Software (BNOmics) for Inferring and Visualizing Bayesian Networks from Heterogeneous Big Biological and Genetic Data
por: Gogoshin, Grigoriy, et al.
Publicado: (2017)

Bayesian network models identify co-operative GPCR:G protein interactions that contribute to G protein coupling
por: Mukhaleva, Elizaveta, et al.
Publicado: (2023)

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

Bow-tie architectures in biological and artificial neural networks: Implications for network evolution and assay design
por: Hilliard, Seth, et al.
Publicado: (2023)

Longitudinal epigenetic and gene expression profiles analyzed by three-component analysis reveal down-regulation of genes involved in protein translation in human aging
por: Jung, Marc, et al.
Publicado: (2015)

Probabilistic forecasting and Bayesian data assimilation
por: Reich, Sebastian, et al.
Publicado: (2015)

Bayesian probabilistic network modeling from multiple independent replicates
por: Patton, Kristopher L, et al.
Publicado: (2012)

Bayesian networks for probabilistic inference and decision analysis in forensic science
por: Taroni, Franco
Publicado: (2014)

Editorial: Systems Biology Methods in Computational Immuno-Oncology
por: Rodin, Andrei S., et al.
Publicado: (2022)

Bayesian methods for hackers: probabilistic programming and Bayesian inference
por: Davidson-Pilon, Cameron
Publicado: (2016)

Bayesian Probabilistic Projection of International Migration
por: Azose, Jonathan J., et al.
Publicado: (2015)

Probabilistic alternatives to Bayesianism: the case of explanationism
por: Douven, Igor, et al.
Publicado: (2015)

Concepts and Applications of Information Theory to Immuno-Oncology
por: Karolak, Aleksandra, et al.
Publicado: (2021)

Bayesian non-parametrics and the probabilistic approach to modelling
por: Ghahramani, Zoubin
Publicado: (2013)

Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
por: Li, Peng, et al.
Publicado: (2007)

Probabilistic logics and probabilistic networks
por: Haenni, Rolf, et al.
Publicado: (2014)

Bayesian strategies: probabilistic programs as generalised graphical models
por: Paquet, Hugo
Publicado: (2021)

Probabilistic edge inference of gene networks with markov random field-based bayesian learning
por: Huang, Yu-Jyun, et al.
Publicado: (2022)

Bayesian probabilistic assignment of chemical shifts in organic solids
por: Cordova, Manuel, et al.
Publicado: (2021)

Higher-order probabilistic perceptrons as bayesian inference engines
por: Clark, J W, et al.
Publicado: (1999)

Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network
por: Wang, Tianyu, et al.
Publicado: (2022)

Deep Boosted Molecular Dynamics (DBMD): Accelerating molecular simulations with Gaussian boost potentials generated using probabilistic Bayesian deep neural network
por: Do, Hung N., et al.
Publicado: (2023)

Probabilistic detection of volcanic ash using a Bayesian approach
por: Mackie, Shona, et al.
Publicado: (2014)

Predicting Lung Cancer Survival Using Probabilistic Reclassification of TNM Editions With a Bayesian Network
por: Sieswerda, Melle S., et al.
Publicado: (2020)

Probabilistic Damage Detection of a Steel Truss Bridge Model by Optimally Designed Bayesian Neural Network
por: Yin, Tao, et al.
Publicado: (2018)

Probabilistic occupancy forecasting for risk-aware optimal ventilation through autoencoder Bayesian deep neural networks
por: Zhuang, Chaoqun, et al.
Publicado: (2022)

Evaluating probabilistic programming and fast variational Bayesian inference in phylogenetics
por: Fourment, Mathieu, et al.
Publicado: (2019)

Assessing the prior event rate ratio method via probabilistic bias analysis on a Bayesian network
por: Thommes, Edward W., et al.
Publicado: (2019)

Probabilistic Inference of Biological Networks via Data Integration
por: Rogers, Mark F., et al.
Publicado: (2015)

A novel probabilistic generator for large-scale gene association networks
por: Grimes, Tyler, et al.
Publicado: (2021)

Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks
por: Ponseti, Francisco Javier, et al.
Publicado: (2019)

Prognostic Diagnosis for Breast Cancer Patients Using Probabilistic Bayesian Classification
por: Junath, N., et al.
Publicado: (2022)

Probabilistic methods for bioinformatics : with an introduction to bayesian networks /
por: Neapolitan, Richard E.
Publicado: (2009)

Generative probabilistic models for protein–protein interaction networks—the biclique perspective
por: Schweiger, Regev, et al.
Publicado: (2011)

Diffusion Probabilistic Modeling for Video Generation
por: Yang, Ruihan, et al.
Publicado: (2023)

Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzers
por: Campbell, Kieran R, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_v5nm094ur3t8g6frh17iuref89