Results 11 to 20 of about 79,155 (276)

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

Molecular Systems Biology, 2018
Multi‐omics studies promise the improved characterization of biological processes across molecular layers. However, methods for the unsupervised integration of the resulting heterogeneous data sets are lacking.
Ricard Argelaguet, Britta Velten, Damien Arnol, Sascha Dietrich, Thorsten Zenz, John C Marioni, Florian Buettner, Wolfgang Huber, Oliver Stegle   +8 more
doaj   +6 more sources

Multi-omics Data Integration, Interpretation, and Its Application [PDF]

Bioinformatics and Biology Insights, 2020
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 biomolecules and their functions.
Indhupriya Subramanian, Srikant Verma, Shiva Kumar, Abhay Jere, Krishanpal Anamika   +4 more
doaj   +3 more sources

Integrative Multi-Omics in Biomedical Research [PDF]

Biomolecules, 2021
Genome technologies have revolutionized biomedicine, but the complexity of biological systems cannot be explained by genomics alone [...]
Hill, Michelle M., Gerner, Christopher
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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-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   +4 more
openaire   +2 more sources

Integrative Multi-omics Analysis of Childhood Aggressive Behavior [PDF]

Behavior Genetics, 2021
Abstract This study introduces and illustrates the potential of an integrated multi-omics approach in investigating the underlying biology of complex traits such as childhood aggressive behavior. In 645 twins (cases = 42%), we trained single- and integrative multi-omics models to identify biomarkers for ...
Hagenbeek, Fiona, van Dongen, Jenny, Pool, René, Roetman, Peter, Harms, Amy, Hottenga, Jouke Jan, Kluft, Cornelis, Colins, Olivier, van Beijsterveldt, Catharina, Fanos, Vassilios, Ehli, Erik, Hankemeier, Thomas, Vermeiren, Robert, Bartels, Meike, Déjean, Sébastien, Boomsma, Dorret   +15 more
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Editorial: Multi-omic data integration [PDF]

Frontiers in Cell and Developmental Biology, 2015
As researchers involved in molecular biology, we are witnessing tremendous paradigm changes in a time frame that becomes shorter and shorter. The epoch-making notion, originally put forward by the central dogma of biology (Crick, 1970), that there is a unidirectional process and a privileged level (genetic) of causality at which biological functions ...
Christine eNardini, Christine eNardini, Jennifer eDent, Paolo eTieri   +3 more
openaire   +5 more sources

Integrated Multi-Omics Landscape of Liver Metastases

Gastroenterology, 2023
Lack of thorough knowledge about the complicated immune microenvironment (IM) within a variety of liver metastases (LMs) leads to inappropriate treatment and unsatisfactory prognosis. We aimed to characterize IM subtypes and investigate potential mechanisms in LMs.Mass cytometry was applied to characterize immune landscape of a primary liver cancers ...
Shuai Yang, Ling Qian, Zhixuan Li, Ye Li, Jian Bai, Bo Zheng, Kun Chen, Xinyao Qiu, Guoxiang Cai, Shan Wang, Haiyan Huang, Jianmin Wu, Yanjing Zhu, Qianwen Zhangyang, Lanyun Feng, Tong Wu, Rui Wu, Airong Yang, Kaiting Wang, Ruiru Wang, Yani Zhang, Yan Zhao, Wenwen Wang, Jinxia Bao, Siyun Shen, Ji Hu, Xuan Wu, Tao Zhou, Zhiqiang Meng, Weiwei Liu, Hongyang Wang, Peng Wang, Lei Chen   +32 more
openaire   +2 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 Kohler, Martin Ott, Jesse G Meyer   +3 more
openaire   +2 more sources

Integrating multi-omics data for crop improvement

Journal of Plant Physiology, 2021
Our agricultural systems are now in urgent need to secure food for a growing world population. To meet this challenge, we need a better characterization of plant genetic and phenotypic diversity. The combination of genomics, transcriptomics and metabolomics enables a deeper understanding of the mechanisms underlying the complex architecture of many ...
Scossa, Federico, Alseekh, Saleh, Fernie, Alisdair R.   +2 more
openaire   +3 more sources