AIMC Topic: Metabolomics
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Identification of optimal prediction models using multi-omic data for selecting hybrid rice.
Heredity
Mar 25, 2019
Genomic prediction benefits hybrid rice breeding by increasing selection intensity and accelerating breeding cycles. With the rapid advancement of technology, other omic data, such as metabolomic data and transcriptomic data, are readily available fo...
Metabolomics Analysis in Acute Paraquat Poisoning Patients Based on UPLC-Q-TOF-MS and Machine Learning Approach.
Chemical research in toxicology
Mar 11, 2019
Most paraquat (PQ) poisoned patients died from acute multiple organ failure (MOF) such as lung, kidney, and heart. However, the exact mechanism of intoxication is still unclear. In order to find out the initial toxic mechanism of PQ poisoning, a bloo...
Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome.
Journal of affective disorders
Mar 8, 2019
BACKGROUND: Both of the modern medicine and the traditional Chinese medicine classify depressive disorder (DD) and chronic fatigue syndrome (CFS) to one type of disease. Unveiling the association between depressive and the fatigue diseases provides a...
Data-driven supervised learning of a viral protease specificity landscape from deep sequencing and molecular simulations.
Proceedings of the National Academy of Sciences of the United States of America
Dec 26, 2018
Biophysical interactions between proteins and peptides are key determinants of molecular recognition specificity landscapes. However, an understanding of how molecular structure and residue-level energetics at protein-peptide interfaces shape these l...
Leveraging Multilayered "Omics" Data for Atopic Dermatitis: A Road Map to Precision Medicine.
Frontiers in immunology
Dec 12, 2018
Atopic dermatitis (AD) is a complex multifactorial inflammatory skin disease that affects ~280 million people worldwide. About 85% of AD cases begin in childhood, a significant portion of which can persist into adulthood. Moreover, a typical progress...
Metabolomics predicts the pharmacological profile of new psychoactive substances.
Journal of psychopharmacology (Oxford, England)
Nov 19, 2018
BACKGROUND: The unprecedented proliferation of new psychoactive substances (NPS) threatens public health and challenges drug policy. Information on NPS pharmacology and toxicity is, in most cases, unavailable or very limited and, given the large numb...
Prognostic models in primary biliary cholangitis.
Journal of autoimmunity
Nov 9, 2018
Risk prediction modelling is important to better understand the determinants of the course and outcome of PBC and to inform the risk across the disease continuum in PBC enabling risk-stratified follow-up care and personalised therapy. Current prognos...
Evaluation of an Artificial Neural Network Retention Index Model for Chemical Structure Identification in Nontargeted Metabolomics.
Analytical chemistry
Oct 24, 2018
Liquid chromatography coupled with electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) is a major analytical technique used for nontargeted identification of metabolites in biological fluids. Typically, in LC-ESI-MS/MS based database assi...
Bounded Fuzzy Possibilistic Method Reveals Information about Lung Cancer through Analysis of Metabolomics.
IEEE/ACM transactions on computational biology and bioinformatics
Sep 12, 2018
Learning methods, such as conventional clustering and classification, have been applied in diagnosing diseases to categorize samples based on their features. Going beyond clustering samples, membership degrees represent to what degree each sample bel...
HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders.
Genetics in medicine : official journal of the American College of Medical Genetics
Sep 10, 2018
Recent dramatic advances in multiomics research coupled with exponentially increasing volume, complexity, and interdisciplinary nature of publications are making it challenging for scientists to stay up-to-date on the literature. Strategies to addres...
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