Application of machine learning algorithms to screen potential biomarkers under cadmium exposure based on human urine metabolic profiles

Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry

(2021) Gabriel L. Streun et al.   CLINICAL CHEMISTRY AND LABORATORY MEDICINE

Profiling of contemporary beer styles using liquid chromatography quadrupole time-of-flight mass spectrometry, multivariate analysis, and machine learning techniques

(2021) Hailee E. Anderson et al.   ANALYTICA CHIMICA ACTA

Urinary metabolic characterization with nephrotoxicity for residents under cadmium exposure

(2021) Ting Zeng et al.   ENVIRONMENT INTERNATIONAL

Feature selection approaches for predictive modelling of cadmium sources and pollution levels in water springs

(2021) Fatima K. Abu Salem et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Influence of nitisinone and its metabolites on l-tyrosine metabolism in a model system

(2021) Joanna Płonka et al.   CHEMOSPHERE

Serum metabolomic and lipidomic profiling identifies diagnostic biomarkers for seropositive and seronegative rheumatoid arthritis patients

(2021) Hemi Luan et al.   Journal of Translational Medicine

Integration of omics analysis and atmospheric pressure MALDI mass spectrometry imaging reveals the cadmium toxicity on female ICR mouse

(2021) Ting Zeng et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Long-term environmental cadmium exposure induced serum metabolic changes related to renal and liver dysfunctions in a female cohort from Southwest China

(2021) Yanshan Liang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Re-epithelialization and immune cell behaviour in an ex vivo human skin model

(2020) Ana Rakita et al.   Scientific Reports

A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves

(2020) Zhou Xin et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Rapid and label-free classification of pathogens based on light scattering, reduced power spectral features and support vector machine

(2020) Mubashir Hussain et al.   CHINESE CHEMICAL LETTERS

Integrated Proteomics and Metabolomics Reveal the Mechanism of Nephrotoxicity Induced by Triptolide

(2020) Lijuan Xie et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Machine Learning Applications for Mass Spectrometry-Based Metabolomics

(2020) Ulf W. Liebal et al.   Metabolites

Metabolomics analysis of the effects of quercetin on renal toxicity induced by cadmium exposure in rats

(2020) Tong Guan et al.   BIOMETALS

A Machine Learning Approach for the Automated Interpretation of Plasma Amino Acid Profiles

(2020) Edmund H Wilkes et al.   CLINICAL CHEMISTRY

Integrated metabolomics analysis of the effect of PPARδ agonist GW501516 on catabolism of BCAAs and carboxylic acids in diabetic mice

(2020) Li Xiang et al.   CHINESE CHEMICAL LETTERS

Environmental cadmium exposure induces alterations in the urinary metabolic profile of pregnant women

(2019) Han Li et al.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH

Metabolic disorder of amino acids, fatty acids and purines reflects the decreases in oocyte quality and potential in sows

(2019) Meixia Chen et al.   Journal of Proteomics

A methodological framework for identifying potential sources of soil heavy metal pollution based on machine learning: A case study in the Yangtze Delta, China

(2019) Xiaolin Jia et al.   ENVIRONMENTAL POLLUTION

PFOA and PFOS promote diabetic renal injury in vitro by impairing the metabolisms of amino acids and purines

(2019) Xun Gong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Biomarkers of cadmium, lead and mercury exposure in relation with early biomarkers of renal dysfunction and diabetes: Results from a pilot study among aging Canadians

(2019) Mathieu Valcke et al.   TOXICOLOGY LETTERS

Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning

(2019) Florence Roux-Dalvai et al.   MOLECULAR & CELLULAR PROTEOMICS

Predicting Breast Cancer by Paper Spray Ion Mobility Spectrometry Mass Spectrometry and Machine Learning

(2019) Ying-Chen Huang et al.   ANALYTICAL CHEMISTRY

As Extracellular Glutamine Levels Decline, Asparagine Becomes an Essential Amino Acid

(2018) Natalya N. Pavlova et al.   Cell Metabolism

Cell metabolomics reveals the neurotoxicity mechanism of cadmium in PC12 cells

(2018) Li Zong et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles

(2018) Edmund H. Wilkes et al.   CLINICAL CHEMISTRY

Influence of exposure differences on city-to-city heterogeneity in PM2.5-mortality associations in US cities

(2017) Lisa K. Baxter et al.   Environmental Health

Metabolomic analysis for combined hepatotoxicity of chlorpyrifos and cadmium in rats

(2017) Ming-Yuan Xu et al.   TOXICOLOGY

Identifying Early Urinary Metabolic Changes with Long-Term Environmental Exposure to Cadmium by Mass-Spectrometry-Based Metabolomics

(2014) Yanhong Gao et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Dehydroepiandrosterone Sulfate (DHEAS) Stimulates the First Step in the Biosynthesis of Steroid Hormones

(2014) Jens Neunzig et al.   PLoS One

Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms

(2010) Yu Guo et al.   BMC BIOINFORMATICS