Results 31 to 40 of about 53,428 (254)

Optimizing network propagation for multi-omics data integration [PDF]

PLOS Computational Biology, 2021
Network propagation refers to a class of algorithms that integrate information from input data across connected nodes in a given network. These algorithms have wide applications in systems biology, protein function prediction, inferring condition-specifically altered sub-networks, and prioritizing disease genes.
Konstantina Charmpi, Manopriya Chokkalingam, Ronja Johnen, Andreas Beyer   +3 more
openaire   +4 more sources

Multi-omic integration by machine learning (MIMaL)

Bioinformatics, 2022
Abstract Motivation Cells respond to environments by regulating gene expression to exploit resources optimally. Recent advances in technologies allow for measuring the abundances of RNA, proteins, lipids and metabolites.
Quinn Dickinson, Andreas Aufschnaiter, Martin Ott, Jesse G. Meyer   +3 more
openaire   +2 more sources

Multi-omics Data Integration by Generative Adversarial Network [PDF]

Bioinformatics, 2021
Accurate disease phenotype prediction plays an important role in the treatment of heterogeneous diseases like cancer in the era of precision medicine. With the advent of high throughput technologies, more comprehensive multi-omics data is now available that can effectively link the genotype to phenotype. However, the interactive relation of multi-omics
Khandakar Tanvir Ahmed, Jiao Sun, Sze Cheng, Jeongsik Yong, Wei Zhang 0076   +4 more
openaire   +2 more sources

A Review of Integrative Imputation for Multi-Omics Datasets [PDF]

Frontiers in Genetics, 2020
Multi-omics studies, which explore the interactions between multiple types of biological factors, have significant advantages over single-omics analysis for their ability to provide a more holistic view of biological processes, uncover the causal and functional mechanisms for complex diseases, and facilitate new discoveries in precision medicine ...
Song, Meng, Greenbaum, Jonathan, Luttrell, Joseph, Zhou, Weihua, Wu, Chong, Shen, Hui, Gong, Ping, Zhang, Chaoyang, Deng, Hong Wen   +8 more
openaire   +3 more sources

Multi-modal intermediate integrative methods in neuropsychiatric disorders: A review

Computational and Structural Biotechnology Journal, 2022
The etiology of neuropsychiatric disorders involves complex biological processes at different omics layers, such as genomics, transcriptomics, epigenetics, proteomics, and metabolomics.
Yanlin Wang, Shi Tang, Ruimin Ma, Ibrahim Zamit, Yanjie Wei, Yi Pan   +5 more
doaj   +1 more source

Multi-omic Data Integration

, 2015
Stable, predictive biomarkers and interpretable disease signatures are seen as a significant step towards personalized medicine. In this perspective, integration of multi-omic data coming from genomics, transcriptomics, glycomics, proteomics, metabolomics is a powerful strategy to reconstruct and analyse complex multi-dimensional interactions, enabling
Christine Nardini, Jennifer Elizabeth Dent, Paolo Tieri   +2 more
openaire   +3 more sources

A Graph-Based Deep Learning Framework with Gating and Omics-Linked Attention for Multi-Omics Integration and Biomarker Discovery

Biology
Integration of multi-omics data provides a comprehensive perspective on complex biological systems, facilitating advances in disease classification and biomarker discovery.
Zhanpeng Huang, Yutao Deng, Jinyuan Liu, Zhaohan Cai   +3 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Network-based integration of multi-omics data for clinical outcome prediction in neuroblastoma

Scientific Reports, 2022
Multi-omics data are increasingly being gathered for investigations of complex diseases such as cancer. However, high dimensionality, small sample size, and heterogeneity of different omics types pose huge challenges to integrated analysis. In this paper,
Conghao Wang, Wu Lue, Rama Kaalia, Parvin Kumar, Jagath C. Rajapakse   +4 more
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source