A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment
JS Wekesa, M Kimwele - Frontiers in Genetics, 2023 - frontiersin.org
Accurate diagnosis is the key to providing prompt and explicit treatment and disease
management. The recognized biological method for the molecular diagnosis of infectious …
management. The recognized biological method for the molecular diagnosis of infectious …
Integrative multi-omics approaches to explore immune cell functions: Challenges and opportunities
As modern biological sciences evolve from investigation of individual molecules and
pathways to growing emphasis on global and systems-based processes, increasing efforts …
pathways to growing emphasis on global and systems-based processes, increasing efforts …
CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome
This manuscript describes the development of a resource module that is part of a learning
platform named 'NIGMS Sandbox for Cloud-based Learning'(https://github …
platform named 'NIGMS Sandbox for Cloud-based Learning'(https://github …
Directional integration and pathway enrichment analysis for multi-omics data
Omics techniques generate comprehensive profiles of biomolecules in cells and tissues.
However, a holistic understanding of underlying systems requires joint analyses of multiple …
However, a holistic understanding of underlying systems requires joint analyses of multiple …
[HTML][HTML] A guide to multi-omics data collection and integration for translational medicine
The emerging high-throughput technologies have led to the shift in the design of
translational medicine projects towards collecting multi-omics patient samples and …
translational medicine projects towards collecting multi-omics patient samples and …
Current approaches and outstanding challenges of functional annotation of metabolites: a comprehensive review
Metabolite profiling is a powerful approach for the clinical diagnosis of complex diseases,
ranging from cardiometabolic diseases, cancer, and cognitive disorders to respiratory …
ranging from cardiometabolic diseases, cancer, and cognitive disorders to respiratory …
Prediction of Feed Efficiency and Performance-Based Traits in Fish via Integration of Multiple Omics and Clinical Covariates
Simple Summary Aquaculture plays a key role in many emerging economies. Sources of fish
for human consumption now exceed those from capture fisheries. However, the high cost of …
for human consumption now exceed those from capture fisheries. However, the high cost of …
Integrated-omics analysis with explainable deep networks on pathobiology of infant bronchiolitis
Bronchiolitis is the leading cause of infant hospitalization. However, the molecular networks
driving bronchiolitis pathobiology remain unknown. Integrative molecular networks …
driving bronchiolitis pathobiology remain unknown. Integrative molecular networks …
Hearing loss and its association with the proteome of perilymph, cerebrospinal fluid, and tumor tissue in patients with vestibular schwannoma
J Edvardsson Rasmussen, P Li, G Laurell… - Scientific Reports, 2024 - nature.com
This study examined the association between hearing loss in sporadic vestibular
schwannoma patients and the proteome of perilymph (PL), cerebrospinal fluid (CSF), and …
schwannoma patients and the proteome of perilymph (PL), cerebrospinal fluid (CSF), and …
PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration
As terabytes of multi-omics data are being generated, there is an ever-increasing need for
methods facilitating the integration and interpretation of such data. Current multi-omics …
methods facilitating the integration and interpretation of such data. Current multi-omics …