Using machine learning approaches for multi-omics data analysis: A review
With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …
become essential for biomedical studies to undertake an integrative (combined) approach to …
[HTML][HTML] Integration strategies of multi-omics data for machine learning analysis
Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …
number of omics data that seek to portray many different but complementary biological …
State of the field in multi-omics research: from computational needs to data mining and sharing
Multi-omics, variously called integrated omics, pan-omics, and trans-omics, aims to combine
two or more omics data sets to aid in data analysis, visualization and interpretation to …
two or more omics data sets to aid in data analysis, visualization and interpretation to …
[HTML][HTML] The European Polysaccharide Network of Excellence (EPNOE) research roadmap 2040: Advanced strategies for exploiting the vast potential of …
M Gericke, AJR Amaral, T Budtova, P De Wever… - Carbohydrate …, 2024 - Elsevier
Polysaccharides are among the most abundant bioresources on earth and consequently
need to play a pivotal role when addressing existential scientific challenges like climate …
need to play a pivotal role when addressing existential scientific challenges like climate …
Charting plant gene functions in the multi-omics and single-cell era
T Depuydt, B De Rybel, K Vandepoele - Trends in Plant Science, 2023 - cell.com
Despite the increased access to high-quality plant genome sequences, the set of genes with
a known function remains far from complete. With the advent of novel bulk and single-cell …
a known function remains far from complete. With the advent of novel bulk and single-cell …
Metabolomics and complementary techniques to investigate the plant phytochemical cosmos
Covering: up to 2021 Plants and their associated microbial communities are known to
produce millions of metabolites, a majority of which are still not characterized and are …
produce millions of metabolites, a majority of which are still not characterized and are …
Drought stress memory at the plant cycle level: A review
C Jacques, C Salon, RL Barnard, V Vernoud… - Plants, 2021 - mdpi.com
Plants are sessile organisms whose survival depends on their strategy to cope with
dynamic, stressful conditions. It is urgent to improve the ability of crops to adapt to recurrent …
dynamic, stressful conditions. It is urgent to improve the ability of crops to adapt to recurrent …
Machine learning: its challenges and opportunities in plant system biology
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …
Holo-omics for deciphering plant-microbiome interactions
Host-microbiome interactions are recognized for their importance to host health. An
improved understanding of the molecular underpinnings of host-microbiome relationships …
improved understanding of the molecular underpinnings of host-microbiome relationships …
Recent advances in proteomics and metabolomics in plants
Over the past decade, systems biology and plant-omics have increasingly become the main
stream in plant biology research. New developments in mass spectrometry and …
stream in plant biology research. New developments in mass spectrometry and …