BayesMetab: treatment of missing values in metabolomic studies using a Bayesian modeling approach

GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies

(2018) Runmin Wei et al.   PLoS Computational Biology

Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data

(2018) Runmin Wei et al.   Scientific Reports

On Using Bayesian Methods to Address Small Sample Problems

(2016) Daniel McNeish   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Improved methods for the imputation of missing data by nearest neighbor methods

(2015) Gerhard Tutz et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A Bayesian Approach to Multilevel Structural Equation Modeling With Continuous and Dichotomous Outcomes

(2015) Sarah Depaoli et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Metabolomic Analysis of Pressure-Overloaded and Infarcted Mouse Hearts

(2014) Brian E. Sansbury et al.   Circulation-Heart Failure

MicroRNA expression profiling of the developing murine upper lip

(2014) Dennis R. Warner et al.   DEVELOPMENT GROWTH & DIFFERENTIATION

Accounting for undetected compounds in statistical analyses of mass spectrometry ‘omic studies

(2013) Sandra L. Taylor et al.   Statistical Applications in Genetics and Molecular Biology

Normalization and missing value imputation for label-free LC-MS analysis

(2012) Yuliya V Karpievitch et al.   BMC BIOINFORMATICS

Sparse Bayesian infinite factor models

(2011) A. Bhattacharya et al.   BIOMETRIKA

Biological impact of missing-value imputation on downstream analyses of gene expression profiles

(2010) Sunghee Oh et al.   BIOINFORMATICS

A statistical framework for protein quantitation in bottom-up MS-based proteomics

(2009) Yuliya Karpievitch et al.   BIOINFORMATICS

Distribution modeling and simulation of gene expression data

(2008) Rudolph S. Parrish et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS