Background Single-cell metabolic studies bring new insights into cellular function, which can often not be captured on other omics layers. Metabolic information has wide applicability …
C Wieder, C Frainay, N Poupin… - PLoS computational …, 2021 - journals.plos.org
Over-representation analysis (ORA) is one of the commonest pathway analysis approaches used for the functional interpretation of metabolomics datasets. Despite the widespread use …
Background Single sample pathway analysis (ssPA) transforms molecular level omics data to the pathway level, enabling the discovery of patient-specific pathway signatures …
H Scott, D Segrè - Annual Review of Marine Science, 2024 - annualreviews.org
Ocean metabolism constitutes a complex, multiscale ensemble of biochemical reaction networks harbored within and between the boundaries of a myriad of organisms. Gaining a …
Genome-scale metabolic models (GEMs) are manually curated repositories describing the metabolic capabilities of an organism. GEMs have been successfully used in different …
Alzheimer's disease (AD) is a complex multifactorial neurodegenerative disease characterized by progressive memory loss. The main pathological features of the disease …
The traditional drug discovery methods and analysis of drug target interactions and physiological responses through biological experiments are expensive and time-consuming …
H Jiang, H Zhang, X Zhang - Science China Life Sciences, 2021 - Springer
Colorectal cancer (CRC) progression is associated with cancer cell dedifferentiation and sternness acquisition. Several methods have been developed to identify sternness …
H Mahto, D Mahato - Biosynthesis of Natural Products in Plants …, 2024 - Springer
The study of natural products in plants has been revolutionized by “in silico” approaches, combining advanced computational methods with traditional botanical study. This …