Pathway testing for longitudinal metabolomics

Longitudinal metabolomic analysis of plasma enables modeling disease progression in Duchenne muscular dystrophy mouse models

(2019) Roula Tsonaka et al.   HUMAN MOLECULAR GENETICS

Joint models for multiple longitudinal processes and time-to-event outcome

(2016) Lili Yang et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Metabolic status of patients with muscular dystrophy in early phase of the disease: In vitro, high resolution NMR spectroscopy based metabolomics analysis of serum

(2016) Niraj Kumar Srivastava et al.   LIFE SCIENCES

Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson’s disease

(2016) Bo He et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Discovery of Metabolic Biomarkers for Duchenne Muscular Dystrophy within a Natural History Study

(2016) Simina M. Boca et al.   PLoS One

voom: precision weights unlock linear model analysis tools for RNA-seq read counts

(2014) Charity W Law et al.   GENOME BIOLOGY

Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets

(2013) Yasir Rahmatallah et al.   BIOINFORMATICS

Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges

(2012) Purvesh Khatri et al.   PLoS Computational Biology

Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture

(2011) Michael J. Sweeting et al.   BIOMETRICAL JOURNAL

A two-stage mixed-effects model approach for gene-set analyses in candidate gene studies

(2011) Roula Tsonaka et al.   STATISTICS IN MEDICINE

On Estimating the Relationship between Longitudinal Measurements and Time-to-Event Data Using a Simple Two-Stage Procedure

(2010) Paul S. Albert et al.   BIOMETRICS

A Unified Mixed Effects Model for Gene Set Analysis of Time Course Microarray Experiments

(2009) Lily Wang et al.   Statistical Applications in Genetics and Molecular Biology