Machine learning applications for mass spectrometry-based metabolomics

UW Liebal, ANT Phan, M Sudhakar, K Raman… - Metabolites, 2020 - mdpi.com
The metabolome of an organism depends on environmental factors and intracellular
regulation and provides information about the physiological conditions. Metabolomics helps …

Multivariate methods in metabolomics–from pre-processing to dimension reduction and statistical analysis

KH Liland - TrAC Trends in Analytical Chemistry, 2011 - Elsevier
This article presents some of the multivariate methods used in metabolomics, and addresses
many of the data types and associated analyses of current instrumentation and applications …

Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data

FM Alakwaa, K Chaudhary… - Journal of proteome …, 2018 - ACS Publications
Metabolomics holds the promise as a new technology to diagnose highly heterogeneous
diseases. Conventionally, metabolomics data analysis for diagnosis is done using various …

Predicting software effort estimation using machine learning techniques

A BaniMustafa - 2018 8th International Conference on …, 2018 - ieeexplore.ieee.org
In software engineering, estimation plays a vital role in software development. Thus,
affecting its cost and required effort and consequently influencing the overall success of …

Serum metabolomics reveals the deregulation of fatty acids metabolism in hepatocellular carcinoma and chronic liver diseases

L Zhou, Q Wang, P Yin, W Xing, Z Wu, S Chen… - Analytical and …, 2012 - Springer
Patients with chronic liver diseases (CLD) including chronic hepatitis B and hepatic cirrhosis
(CIR) are the major high-risk population of hepatocellular carcinoma (HCC). The differential …

Open versus closed hearing-aid fittings: A literature review of both fitting approaches

A Winkler, M Latzel, I Holube - Trends in hearing, 2016 - journals.sagepub.com
One of the main issues in hearing-aid fittings is the abnormal perception of the user's own
voice as too loud,“boomy,” or “hollow.” This phenomenon known as the occlusion effect be …

[HTML][HTML] Metabolomics: A useful tool for ischemic stroke research

W Li, C Shao, C Li, H Zhou, L Yu, J Yang, H Wan… - Journal of …, 2023 - Elsevier
Ischemic stroke (IS) is a multifactorial and heterogeneous disease. Despite years of studies,
effective strategies for the diagnosis, management and treatment of stroke are still lacking in …

Metabolomics in the developmental origins of obesity and its cardiometabolic consequences

MF Hivert, W Perng, SM Watkins… - … origins of health and …, 2015 - cambridge.org
In this review, we discuss the potential role of metabolomics to enhance understanding of
obesity-related developmental origins of health and disease (DOHaD). We first provide an …

Statistical methods in metabolomics

A Korman, A Oh, A Raskind, D Banks - Evolutionary Genomics: Statistical …, 2012 - Springer
Metabolomics is the relatively new field in bioinformatics that uses measurements on
metabolite abundance as a tool for disease diagnosis and other medical purposes. Although …

Advanced satellite imagery to classify sugarcane crop characteristics

YL Everingham, KH Lowe, DA Donald… - Agronomy for …, 2007 - Springer
Techniques that provide a rapid and widespread assessment of crop properties equip
industry decision makers with knowledge to improve their farming environment, both …