Cargando…

Predicting multi-level drug response with gene expression profile in multiple myeloma using hierarchical ordinal regression

BACKGROUND: Multiple myeloma (MM), like other cancers, is caused by the accumulation of genetic abnormalities. Heterogeneity exists in the patients’ response to treatments, for example, bortezomib. This urges efforts to identify biomarkers from numerous molecular features and build predictive models...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Xinyan, Li, Bingzong, Han, Huiying, Song, Sha, Xu, Hongxia, Hong, Yating, Yi, Nengjun, Zhuang, Wenzhuo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946496/ https://www.ncbi.nlm.nih.gov/pubmed/29747599 http://dx.doi.org/10.1186/s12885-018-4483-6

Ejemplares similares

Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression
por: Montesinos-López, Osval A., et al.
Publicado: (2015)

Ordinal Logistic Regression in Medical Research
por: Bender, Ralf, et al.
Publicado: (1997)

Validation of in silico biomarkers for drug screening through ordinal logistic regression
por: Jeong, Da Un, et al.
Publicado: (2022)

Multinomial and ordinal Logistic regression analyses with multi-categorical variables using R
por: Liang, Jiaqi, et al.
Publicado: (2020)

Using the hierarchical ordinal regression model to analyse the intensity of urinary schistosomiasis infection in school children in Lusaka Province, Zambia
por: Simoonga, Christopher, et al.
Publicado: (2017)

Predicting Progression of Alzheimer’s Disease Using Ordinal Regression
por: Doyle, Orla M., et al.
Publicado: (2014)

Multivariate decoding of brain images using ordinal regression()
por: Doyle, O.M., et al.
Publicado: (2013)

Evaluating Doctor Performance: Ordinal Regression-Based Approach
por: Shi, Yong, et al.
Publicado: (2018)

Distributed Support Vector Ordinal Regression over Networks
por: Liu, Huan, et al.
Publicado: (2022)

Ordinal state‐trait regression for intensive longitudinal data
por: Osei, Prince P., et al.
Publicado: (2022)

Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data
por: Zhang, Xinyan, et al.
Publicado: (2018)

Hierarchical regression for epidemiologic analyses of multiple exposures.
por: Greenland, S
Publicado: (1994)

Identification and evaluation of novel methods for the analysis of ordinal data in acute stroke trials in comparison to ordinal logistic regression
por: Nunn, Aimie, et al.
Publicado: (2015)

Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis
por: Harrell , Jr , Frank E
Publicado: (2015)

ROC curve regression analysis: the use of ordinal regression models for diagnostic test assessment.
por: Tosteson, A N, et al.
Publicado: (1994)

Sparse Ordinal Logistic Regression and Its Application to Brain Decoding
por: Satake, Emi, et al.
Publicado: (2018)

ordinalgmifs: An R Package for Ordinal Regression in High-dimensional Data Settings
por: Archer, Kellie J, et al.
Publicado: (2014)

Sufficient Sample Size and Power in Multilevel Ordinal Logistic Regression Models
por: Ali, Sabz, et al.
Publicado: (2016)

Ordinal regression models for zero-inflated and/or over-dispersed count data
por: Valle, Denis, et al.
Publicado: (2019)

Innovativeness Analysis of Scholarly Publications by Age Prediction Using Ordinal Regression
por: Savov, Pavel, et al.
Publicado: (2020)

Ordinal regression increases statistical power to predict epilepsy surgical outcomes
por: Dickey, Adam S., et al.
Publicado: (2022)

Hierarchical Generalized Linear Models for Multiple Groups of Rare and Common Variants: Jointly Estimating Group and Individual-Variant Effects
por: Yi, Nengjun, et al.
Publicado: (2011)

Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information
por: Tang, Zaixiang, et al.
Publicado: (2019)

A comparison of ordinal regression models in an analysis of factors associated with periodontal disease
por: Javali, Shivalingappa B., et al.
Publicado: (2010)

Response to Fluvoxamine in the Obsessive-Compulsive Disorder Patients: Bayesian Ordinal Quantile Regression
por: Safiloo, Samad, et al.
Publicado: (2021)

Prevalence and Triggering Factors of Childhood Anemia: An Application of Ordinal Logistic Regression Model
por: Islam, Md. Akhtarul, et al.
Publicado: (2022)

How Are BMI, Nutrition, and Physical Exercise Related? An Application of Ordinal Logistic Regression
por: Wang, Hongwei, et al.
Publicado: (2022)

An application of ordinal regression to extract social dysfunction levels through behavioral problems
por: Sabharwal, Alka, et al.
Publicado: (2023)

An Efficient Hierarchical Generalized Linear Mixed Model for Mapping QTL of Ordinal Traits in Crop Cultivars
por: Feng, Jian-Ying, et al.
Publicado: (2013)

Application of ordinal logistic regression analysis in determining risk factors of child malnutrition in Bangladesh
por: Das, Sumonkanti, et al.
Publicado: (2011)

Penalized Ordinal Regression Methods for Predicting Stage of Cancer in High-Dimensional Covariate Spaces
por: Gentry, Amanda Elswick, et al.
Publicado: (2015)

Visual grading characteristics and ordinal regression analysis during optimisation of CT head examinations
por: Zarb, Francis, et al.
Publicado: (2014)

Protein–protein interaction prediction based on ordinal regression and recurrent convolutional neural networks
por: Xu, Weixia, et al.
Publicado: (2021)

ordinalbayes: Fitting Ordinal Bayesian Regression Models to High-Dimensional Data Using R
por: Archer, Kellie J., et al.
Publicado: (2022)

Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity
por: Gorrostieta, Cristina, et al.
Publicado: (2013)

NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis
por: Zhang, Xinyan, et al.
Publicado: (2020)

Identification of multiple gene-gene interactions for ordinal phenotypes
por: Kim, Kyunga, et al.
Publicado: (2013)

Multiple imputation methods for missing multilevel ordinal outcomes
por: Dong, Mei, et al.
Publicado: (2023)

Multi-omics investigation of the resistance mechanisms of pomalidomide in multiple myeloma
por: Zhuang, Yan, et al.
Publicado: (2023)

Hierarchically electrospraying a PLGA@chitosan sphere-in-sphere composite microsphere for multi-drug-controlled release
por: Liu, Zhu, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_l4n5rq6v28b08ro24rfbbcrp09