Cargando…

Incorporating Biological Pathways via a Markov Random Field Model in Genome-Wide Association Studies

Genome-wide association studies (GWAS) examine a large number of markers across the genome to identify associations between genetic variants and disease. Most published studies examine only single markers, which may be less informative than considering multiple markers and multiple genes jointly bec...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Min, Cho, Judy, Zhao, Hongyu
Formato:	Texto
Lenguaje:	English
Publicado:	Public Library of Science 2011
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3072362/ https://www.ncbi.nlm.nih.gov/pubmed/21490723 http://dx.doi.org/10.1371/journal.pgen.1001353

Ejemplares similares

Incorporating interaction networks into the determination of functionally related hit genes in genomic experiments with Markov random fields
por: Robinson, Sean, et al.
Publicado: (2017)

Markov random fields
por: Rozanov, Yu A
Publicado: (1982)

Markov random fields and their applications
por: Kindermann, Ross, et al.
Publicado: (1980)

Pathway analysis comparison using Crohn's disease genome wide association studies
por: Ballard, David, et al.
Publicado: (2010)

An Order Reduction Design Framework for Higher-Order Binary Markov Random Fields
por: Chen, Zhuo, et al.
Publicado: (2023)

A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
por: Li, Hongyu, et al.
Publicado: (2021)

Denumerable Markov chains: with a chapter of Markov random fields by David Griffeath
por: Kemeny, John G, et al.
Publicado: (1976)

Replicability analysis in genome-wide association studies via Cartesian hidden Markov models
por: Wang, Pengfei, et al.
Publicado: (2019)

A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data
por: Zhu, Biqing, et al.
Publicado: (2022)

Gaussian Markov random fields: theory and applications
por: Rue, Havard, et al.
Publicado: (2005)

Approximating Hidden Gaussian Markov Random Fields
por: Rue, H, et al.
Publicado: (2003)

Marginal Variances for Gaussian Markov Random Fields
por: Rue, H
Publicado: (2005)

Detection of differentially methylated regions from bisulfite-seq data by hidden Markov models incorporating genome-wide methylation level distributions
por: Saito, Yutaka, et al.
Publicado: (2015)

Gaussian Markov Random Field Models With Applications in Spatial Statistics
por: Rue, H, et al.
Publicado: (2003)

Approximate Inference for Hierarchical Gaussian Markov Random Fields Models
por: Rue, H, et al.
Publicado: (2005)

Constructing tissue-specific transcriptional regulatory networks via a Markov random field
por: Ma, Shining, et al.
Publicado: (2018)

Fast sampling of Gaussian Markov random fields with applications
por: Rue, H
Publicado: (2000)

Incorporating periodic variability in hidden Markov models for animal movement
por: Li, Michael, et al.
Publicado: (2017)

MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field
por: Alnabati, Eman, et al.
Publicado: (2022)

Large-scale multiple testing in genome-wide association studies via region-specific hidden Markov models
por: Xiao, Jian, et al.
Publicado: (2013)

Overlapping block proposals for latent Gaussian Markov random fields
por: Steinsland, I, et al.
Publicado: (2003)

Revisiting Gaussian Markov random fields and Bayesian disease mapping
por: MacNab, Ying C
Publicado: (2022)

On incorporating forecasts into linear state space model Markov decision processes
por: de Chalendar, Jacques A., et al.
Publicado: (2021)

Modelling spatial variation in disease risk using Gaussian Markov random field proxies for Gaussian random fields
por: Follestad, T, et al.
Publicado: (2003)

Effective Identification of Conserved Pathways in Biological Networks Using Hidden Markov Models
por: Qian, Xiaoning, et al.
Publicado: (2009)

MRFalign: Protein Homology Detection through Alignment of Markov Random Fields
por: Ma, Jianzhu, et al.
Publicado: (2014)

Markov random field segmentation for industrial computed tomography with metal artefacts
por: Jaiswal, Avinash, et al.
Publicado: (2018)

Generalizations of Markov model to characterize biological sequences
por: Wang, Junwen, et al.
Publicado: (2005)

Structure-based Markov random field model for representing evolutionary constraints on functional sites
por: Jeong, Chan-Seok, et al.
Publicado: (2016)

PET image segmentation using a Gaussian mixture model and Markov random fields
por: Layer, Thomas, et al.
Publicado: (2015)

Multiple Object Tracking for Dense Pedestrians by Markov Random Field Model with Improvement on Potentials
por: Liu, Peixin, et al.
Publicado: (2020)

Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting
por: MacNab, Ying C.
Publicado: (2023)

Hidden Markov random field models for cell-type assignment of spatially resolved transcriptomics
por: Zhong, Cheng, et al.
Publicado: (2023)

On a Class of Tensor Markov Fields
por: Hernández-Lemus, Enrique
Publicado: (2020)

Incorporating biological knowledge in the search for gene × gene interaction in genome-wide association studies
por: Manning, Alisa K, et al.
Publicado: (2009)

Specifying a Gaussian Markov random field by a sparse Cholesky triangle
por: Wist, H T, et al.
Publicado: (2005)

MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior
por: Panić, Marko, et al.
Publicado: (2020)

Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment
por: Bidargaddi, Niranjan P., et al.
Publicado: (2008)

Neighbor GWAS: incorporating neighbor genotypic identity into genome-wide association studies of field herbivory
por: Sato, Yasuhiro, et al.
Publicado: (2021)

Image analysis, random fields and Markov chain Monte Carlo methods : a mathematical introduction
por: Winkler, Gerhard 1946-
Publicado: (2003)

Cannot write session to /tmp/vufind_sessions/sess_0a09ua062b2ctng6m3son5f0q9