Cargando…

Transcriptomic pan‐cancer analysis using rank‐based Bayesian inference

The analysis of whole genomes of pan‐cancer data sets provides a challenge for researchers, and we contribute to the literature concerning the identification of robust subgroups with clear biological interpretation. Specifically, we tackle this unsupervised problem via a novel rank‐based Bayesian cl...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vitelli, Valeria, Fleischer, Thomas, Ankill, Jørgen, Arjas, Elja, Frigessi, Arnoldo, Kristensen, Vessela N., Zucknick, Manuela
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2023
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061294/ https://www.ncbi.nlm.nih.gov/pubmed/36562628 http://dx.doi.org/10.1002/1878-0261.13354

Ejemplares similares

Rank‐based Bayesian variable selection for genome‐wide transcriptomic analyses
por: Eliseussen, Emilie, et al.
Publicado: (2022)

Epigenetic alterations at distal enhancers are linked to proliferation in human breast cancer
por: Ankill, Jørgen, et al.
Publicado: (2022)

Adaptive treatment allocation and selection in multi-arm clinical trials: a Bayesian perspective
por: Arjas, Elja, et al.
Publicado: (2022)

Bayesian integrated modeling of expression data: a case study on RhoG
por: Gupta, Rashi, et al.
Publicado: (2010)

Estimating genealogies from linked marker data: a Bayesian approach
por: Gasbarra, Dario, et al.
Publicado: (2007)

Bayesian Hierarchical Model for Estimating Gene Expression Intensity Using Multiple Scanned Microarrays
por: Gupta, Rashi, et al.
Publicado: (2007)

A genetic and spatial Bayesian analysis of mastitis resistance
por: Sæbø, Solve, et al.
Publicado: (2004)

Bayesian inference for low-rank Ising networks
por: Marsman, Maarten, et al.
Publicado: (2015)

Overrepresentation of transcription factor families in the genesets underlying breast cancer subtypes
por: Joshi, Himanshu, et al.
Publicado: (2012)

Bayesian Inference of Natural Rankings in Incomplete Competition Networks
por: Park, Juyong, et al.
Publicado: (2014)

Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in breast cancer
por: Solvang, Hiroko K, et al.
Publicado: (2011)

Crosstalk between microRNA expression and DNA methylation drives the hormone-dependent phenotype of breast cancer
por: Aure, Miriam Ragle, et al.
Publicado: (2021)

Increasing incidence of Type 1 diabetes – role for genes?
por: Pitkäniemi, Janne, et al.
Publicado: (2004)

Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer
por: Levy-Jurgenson, Alona, et al.
Publicado: (2020)

A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims
por: Scheel, Ida, et al.
Publicado: (2013)

Combining Gene Signatures Improves Prediction of Breast Cancer Survival
por: Zhao, Xi, et al.
Publicado: (2011)

Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer
por: Solvang, Hiroko K., et al.
Publicado: (2016)

Joint Bayesian modeling of time to malaria and mosquito abundance in Ethiopia
por: Belay, Denekew Bitew, et al.
Publicado: (2017)

Tissue-specific identification of multi-omics features for pan-cancer drug response prediction
por: Zhao, Zhi, et al.
Publicado: (2022)

Integration of Multiple Genomic Data Sources in a Bayesian Cox Model for Variable Selection and Prediction
por: Treppmann, Tabea, et al.
Publicado: (2017)

Genome-wide DNA methylation profiles in progression to in situ and invasive carcinoma of the breast with impact on gene transcription and prognosis
por: Fleischer, Thomas, et al.
Publicado: (2014)

DNA methylation at enhancers identifies distinct breast cancer lineages
por: Fleischer, Thomas, et al.
Publicado: (2017)

Bayesian inference
por: Cardenas, Rosario O
Publicado: (2018)

DNA copy number motifs are strong and independent predictors of survival in breast cancer
por: Pladsen, Arne V., et al.
Publicado: (2020)

Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ
por: van Doorn, J., et al.
Publicado: (2020)

Computational Neuropsychology and Bayesian Inference
por: Parr, Thomas, et al.
Publicado: (2018)

Estimation of dynamic SNP-heritability with Bayesian Gaussian process models
por: Arjas, Arttu, et al.
Publicado: (2020)

Bayesian inference of neuronal assemblies
por: Diana, Giovanni, et al.
Publicado: (2019)

A Bayesian mixed modeling approach for estimating heritability
por: Nustad, Haakon E., et al.
Publicado: (2018)

P613: ANALYSIS OF EX-VIVO RESPONSE TO SINGLE DRUGS AND DRUG COMBINATIONS IN CHRONIC LYMPHOCYTIC LEUKEMIA PATIENT SAMPLES
por: Miranda Santana, Leonardo, et al.
Publicado: (2023)

bayesynergy: flexible Bayesian modelling of synergistic interaction effects in in vitro drug combination experiments
por: Rønneberg, Leiv, et al.
Publicado: (2021)

Approximate Bayesian Inference
por: Alquier, Pierre
Publicado: (2020)

Stochastic models, statistical methods, and algorithms in image analysis : proceedings of the special year on image analysis
por: Barone, Piero, et al.
Publicado: (1992)

Indirect genomic effects on survival from gene expression data
por: Ferkingstad, Egil, et al.
Publicado: (2008)

Are Narrow Focus Exhaustivity Inferences Bayesian Inferences?
por: Schreiber, Alexander, et al.
Publicado: (2021)

A hierarchical Bayesian mixture model for inferring the expression state of genes in transcriptomes
por: Thompson, Ammon, et al.
Publicado: (2020)

Tempo: an unsupervised Bayesian algorithm for circadian phase inference in single-cell transcriptomics
por: Auerbach, Benjamin J., et al.
Publicado: (2022)

Inference of temporally varying Bayesian Networks
por: Thorne, Thomas, et al.
Publicado: (2012)

Optimal inference with suboptimal models: Addiction and active Bayesian inference
por: Schwartenbeck, Philipp, et al.
Publicado: (2015)

A three minutes supine position test reveals higher risk of spinal anesthesia induced hypotension during cesarean delivery. An observational study.
por: Erango, Markos, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_9ajhf3td7snkv08uj35kkm546l