Multi-omics data integration, interpretation, and its application
I Subramanian, S Verma, S Kumar… - … and biology insights, 2020 - journals.sagepub.com
To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …
approach that combines multi-omics data to highlight the interrelationships of the involved …
[HTML][HTML] Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis
O Menyhárt, B Győrffy - Computational and structural biotechnology journal, 2021 - Elsevier
While cost-effective high-throughput technologies provide an increasing amount of data, the
analyses of single layers of data seldom provide causal relations. Multi-omics data …
analyses of single layers of data seldom provide causal relations. Multi-omics data …
Onco‐multi‐OMICS approach: a new frontier in cancer research
The acquisition of cancer hallmarks requires molecular alterations at multiple levels
including genome, epigenome, transcriptome, proteome, and metabolome. In the past …
including genome, epigenome, transcriptome, proteome, and metabolome. In the past …
Comprehensive metabolic profiling of Parkinson's disease by liquid chromatography-mass spectrometry
Background Parkinson's disease (PD) is a prevalent neurological disease in the elderly with
increasing morbidity and mortality. Despite enormous efforts, rapid and accurate diagnosis …
increasing morbidity and mortality. Despite enormous efforts, rapid and accurate diagnosis …
Challenges and emergent solutions for LC‐MS/MS based untargeted metabolomics in diseases
In the past decade, advances in liquid chromatography‐mass spectrometry (LC‐MS) have
revolutionized untargeted metabolomics analyses. By mining metabolomes more deeply …
revolutionized untargeted metabolomics analyses. By mining metabolomes more deeply …
Analytical and biochemical perspectives of protein O-GlcNAcylation
Protein O-linked β-N-acetylglucosamine (O-GlcNAc) modification (O-GlcNAcylation) is a
unique monosaccharide modification discovered in the early 1980s. With the technological …
unique monosaccharide modification discovered in the early 1980s. With the technological …
Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer
Y Chen, B Wang, Y Zhao, X Shao, M Wang… - Nature …, 2024 - nature.com
Gastric cancer (GC) represents a significant burden of cancer-related mortality worldwide,
underscoring an urgent need for the development of early detection strategies and precise …
underscoring an urgent need for the development of early detection strategies and precise …
Defining disease-related modules based on weighted miRNA synergistic network
MicroRNAs (miRNAs) play an important role in the biological process. Their expression and
functional changes have been observed in most cancers. Meanwhile, there exists …
functional changes have been observed in most cancers. Meanwhile, there exists …
Spatial differentiation of metabolism in prostate cancer tissue by MALDI-TOF MSI
MK Andersen, TS Høiem, BSR Claes, B Balluff… - Cancer & …, 2021 - Springer
Background Prostate cancer tissues are inherently heterogeneous, which presents a
challenge for metabolic profiling using traditional bulk analysis methods that produce an …
challenge for metabolic profiling using traditional bulk analysis methods that produce an …
Metabolomics and multi-omics integration: a survey of computational methods and resources
As researchers are increasingly able to collect data on a large scale from multiple clinical
and omics modalities, multi-omics integration is becoming a critical component of …
and omics modalities, multi-omics integration is becoming a critical component of …