Using machine learning approaches for multi-omics data analysis: A review

PS Reel, S Reel, E Pearson, E Trucco… - Biotechnology advances, 2021 - Elsevier
With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …

Prospects and challenges of multi-omics data integration in toxicology

S Canzler, J Schor, W Busch, K Schubert… - Archives of …, 2020 - Springer
Exposure of cells or organisms to chemicals can trigger a series of effects at the regulatory
pathway level, which involve changes of levels, interactions, and feedback loops of …

Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy

WB Dunn, DI Broadhurst, HJ Atherton… - Chemical society …, 2011 - pubs.rsc.org
The study of biological systems in a holistic manner (systems biology) is increasingly being
viewed as a necessity to provide qualitative and quantitative descriptions of the emergent …

NMR-based metabolomic analysis of plants

HK Kim, YH Choi, R Verpoorte - Nature protocols, 2010 - nature.com
Nuclear magnetic resonance (NMR)-based metabolomics has many applications in plant
science. Metabolomics can be used in functional genomics and to differentiate plants from …

Transcriptomic and metabolomic data integration

R Cavill, D Jennen, J Kleinjans… - Briefings in …, 2016 - academic.oup.com
Many studies now produce parallel data sets from different omics technologies; however, the
task of interpreting the acquired data in an integrated fashion is not trivial. This review covers …

Approaches to integrating metabolomics and multi-omics data: a primer

T Jendoubi - Metabolites, 2021 - mdpi.com
Metabolomics deals with multiple and complex chemical reactions within living organisms
and how these are influenced by external or internal perturbations. It lies at the heart of …

High-resolution magic-angle-spinning NMR spectroscopy for metabolic profiling of intact tissues

O Beckonert, M Coen, HC Keun, Y Wang… - Nature protocols, 2010 - nature.com
Metabolic profiling, metabolomic and metabonomic studies require robust study protocols for
any large-scale comparisons and evaluations. Detailed methods for solution-state NMR …

Multi 'omic data integration: A review of concepts, considerations, and approaches

TM Santiago-Rodriguez, EB Hollister - Seminars in Perinatology, 2021 - Elsevier
The application of 'omic techniques including, but not limited to genomics/metagenomics,
transcriptomics/meta-transcriptomics, proteomics/meta-proteomics, and metabolomics to …

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 …

Multi-omics integration—a comparison of unsupervised clustering methodologies

G Tini, L Marchetti, C Priami… - Briefings in …, 2019 - academic.oup.com
With the recent developments in the field of multi-omics integration, the interest in factors
such as data preprocessing, choice of the integration method and the number of different …