Lauren Petrick

发表

MetaClean: a machine learning-based classifier for reduced false positive peak detection in untargeted LC–MS metabolomics data

Gaurav Pandey, Kelsey Chetnik, Lauren Petrick, 2020, Metabolomics.

Data-adaptive pipeline for filtering and normalizing metabolomics data

Sandrine Dudoit, Henrik Carlsson, Stephen M. Rappaport, 2018, bioRxiv.

Filtering procedures for untargeted LC-MS metabolomics data

Sandrine Dudoit, Henrik Carlsson, Josie Hayes, 2019, BMC Bioinformatics.

Untargeted high-resolution paired mass distance data mining for retrieving general chemical relationships

Lauren Petrick, Miao Yu, 2020, Communications Chemistry.

MetaClean: A machine learning-based classifier for reduced false positive peak detection in untargeted LC-MS metabolomics data

Gaurav Pandey, Kelsey Chetnik, Lauren Petrick, 2020 .

Reproducible Untargeted Metabolomics Data Analysis Workflow for Exhaustive MS/MS Annotation

Lauren Petrick, Georgia Dolios, Miao Yu, 2021 .

Untargeted lipidomic features associated with colorectal cancer in a prospective cohort

Paolo Vineis, Sandrine Dudoit, Marc J Gunter, 2018, BMC Cancer.

Tobacco smoke aging in the presence of ozone: a room sized chamber study

Hugo Destaillats, Lauren Petrick, Mohamad Sleiman, 2011 .

compMS2Miner: An Automatable Metabolite Identification, Visualization, and Data-Sharing R Package for High-Resolution LC-MS Data Sets.

Augustin Scalbert, Lauren Petrick, Jeffrey K Wickliffe, 2017, Analytical chemistry.

An untargeted metabolomics method for archived newborn dried blood spots in epidemiologic studies

Sandrine Dudoit, Lauren Petrick, Kelsi Perttula, 2017, Metabolomics.