20 citations · 23 across the 5 of their papers we have counts for
5 papers
WiNNbeta: Batch and drift correction method by white noise normalization for metabolomic studies
Olga Demler, Franco Giulianini, Yanyan Liu +5
We developed a method called batch and drift correction method by White Noise Normalization (WiNNbeta) to correct individual metabolites for batch effects and drifts. This method t…
Quantum approximate Bayesian computation for NMR model inference
Dries Sels, Hesam Dashti, Samia Mora +2
Recent technological advances may lead to the development of small scale quantum computers capable of solving problems that cannot be tackled with classical computers. A limited nu…
A Single Visualization Technique for Displaying Multiple Metabolite-Phenotype Associations
Mir Henglin, Teemu Niiranen, Jeramie D. Watrous +10
More advanced visualization tools are needed to assist with the analyses and interpretation of human metabolomics data, which are rapidly increasing in quantity and complexity. Usi…
Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data
Brian L. Claggett, Joseph Antonelli, Mir Henglin +10
Background. Emerging technologies now allow for mass spectrometry based profiling of up to thousands of small molecule metabolites (metabolomics) in an increasing number of biosamp…
Statistical Methods and Workflow for Analyzing Human Metabolomics Data
Joseph Antonelli, Brian Claggett, Mir Henglin +9
High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity and mechanisms u…