AIMC Topic: Metabolome

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An unsupervised learning approach to identify novel signatures of health and disease from multimodal data.

Genome medicine Jan 10, 2020
BACKGROUND: Modern medicine is rapidly moving towards a data-driven paradigm based on comprehensive multimodal health assessments. Integrated analysis of data from different modalities has the potential of uncovering novel biomarkers and disease sign...
Humans Biomarkers Adult Unsupervised Machine Learning Metabolome Microbiota Genome, Human Genomics Metabolic Syndrome Metabolomics
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Antibiotic resistance and metabolic profiles as functional biomarkers that accurately predict the geographic origin of city metagenomics samples.

Biology direct Aug 20, 2019
BACKGROUND: The availability of hundreds of city microbiome profiles allows the development of increasingly accurate predictors of the origin of a sample based on its microbiota composition. Typical microbiome studies involve the analysis of bacteria...
Microbiota Metagenomics Machine Learning Metagenome Biomarkers Cities Metabolome Drug Resistance, Microbial
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Understanding mixed environmental exposures using metabolomics via a hierarchical community network model in a cohort of California women in 1960's.

Reproductive toxicology (Elmsford, N.Y.) Jul 9, 2019
Even though the majority of population studies in environmental health focus on a single factor, environmental exposure in the real world is a mixture of many chemicals. The concept of "exposome" leads to an intellectual framework of measuring many e...
Exposome Metabolomics Metabolome California Humans Neural Networks, Computer Female Cohort Studies
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Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks.

BMC bioinformatics Jul 9, 2019
BACKGROUND: Alkaloids, a class of organic compounds that contain nitrogen bases, are mainly synthesized as secondary metabolites in plants and fungi, and they have a wide range of bioactivities. Although there are thousands of compounds in this class...
Neural Networks, Computer Algorithms Biosynthetic Pathways Models, Theoretical Metabolome Alkaloids
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Discovery of food identity markers by metabolomics and machine learning technology.

Scientific reports Jul 4, 2019
Verification of food authenticity establishes consumer trust in food ingredients and components of processed food. Next to genetic or protein markers, chemicals are unique identifiers of food components. Non-targeted metabolomics is ideally suited to...
Humans Machine Learning Biomarkers Salvia Food Handling Food Analysis Sesamum Seeds Flax Metabolome
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Rapid discrimination of multiple myeloma patients by artificial neural networks coupled with mass spectrometry of peripheral blood plasma.

Scientific reports May 28, 2019
Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and monitoring of MM patients is based on bone marrow biopsies and detection of abnormal immunoglobulin in serum and/or urine. However, biopsies have a singl...
Multiple Myeloma Datasets as Topic Bone Marrow Immunoglobulins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Metabolome Principal Component Analysis Metabolic Networks and Pathways Artificial Intelligence Humans Female Neural Networks, Computer Middle Aged Aged Aged, 80 and over Case-Control Studies Male
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Anticancer Drug Affects Metabolomic Profiles in Multicellular Spheroids: Studies Using Mass Spectrometry Imaging Combined with Machine Learning.

Analytical chemistry Apr 15, 2019
Multicellular spheroids (hereinafter referred to as spheroids) are 3D biological models. The metabolomic profiles inside spheroids provide crucial information reflecting the molecular phenotypes and microenvironment of cells. To study the influence o...
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization HCT116 Cells Spheroids, Cellular Machine Learning Colorectal Neoplasms Topoisomerase I Inhibitors Humans Metabolome Irinotecan
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Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics.

Analytical chemistry Apr 15, 2019
Recent developments in high-resolution mass spectrometry (HRMS) technology enabled ultrasensitive detection of proteins, peptides, and metabolites in limited amounts of samples, even single cells. However, extraction of trace-abundance signals from c...
Machine Learning Software Animals Single-Cell Analysis Metabolome Xenopus laevis Electrophoresis, Capillary Spectrometry, Mass, Electrospray Ionization Embryo, Nonmammalian
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A directed learning strategy integrating multiple omic data improves genomic prediction.

Plant biotechnology journal Apr 14, 2019
Genomic prediction (GP) aims to construct a statistical model for predicting phenotypes using genome-wide markers and is a promising strategy for accelerating molecular plant breeding. However, current progress of phenotype prediction using genomic d...
Quantitative Trait Loci Transcriptome Oryza Models, Genetic Genomics Genetic Markers Models, Statistical Polymorphism, Single Nucleotide Supervised Machine Learning Metabolome Phenotype
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Architectures and accuracy of artificial neural network for disease classification from omics data.

BMC genomics Mar 4, 2019
BACKGROUND: Deep learning has made tremendous successes in numerous artificial intelligence applications and is unsurprisingly penetrating into various biomedical domains. High-throughput omics data in the form of molecular profile matrices, such as ...
Deep Learning Machine Learning Humans Logistic Models Algorithms Metabolome Neural Networks, Computer Support Vector Machine Gene Expression Profiling Bayes Theorem Artificial Intelligence
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