This thesis uses a systems-level approach to study cellular metabolism, unveiling new mechanisms and responses that were impossible to demonstrate with traditional reductionists procedures.The results reported have potential applications in areas like metabolic engineering and disease treatment. They could also be used in determining the accuracy of the gene essentiality
Full Download A Network-Based Approach to Cell Metabolism: From Structure to Flux-Balances - Oriol Guell file in PDF
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Jan 29, 2019 a network-based approach to identify dna methylation and its involved molecular pathways in testicular germ cell tumors.
Jan 31, 2017 functional genetics approaches based mainly on single-gene of the genes that naturally affect cell wall chemistry and ultrastructure in ways.
Jul 10, 2017 on one hand, network pharmacology considers the drug response in the context of a cellular or phenotypic network.
Nov 28, 2016 the network unites plant physiological processes on cell, tissue and whole plant level.
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This paper presents a new white blood cell classification system for the recognition of five types of white blood cells.
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Apr 18, 2017 genome-wide regulatory networks enable cells to function, develop, and take a network-based approach to study their biological features.
Dec 24, 2019 network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone.
Network-based approach to identify principal isoforms among four cancer types† to transcript expression and drug responses in various cancer type cell lines.
The library of integrated network-based cellular signatures (lincs) is a multi- institutional, collaborative project initiated by the national institutes of health.
Feb 12, 2021 a gene network–based screening approach leveraging human disease-specific ipscs and machine learning identified a therapeutic candidate.
Among network approaches based on the analysis of the topological key regulators of many cellular processes in both physiological and pathological states.
Molecular aspects of diseases at a systems level by incorporating various cellular entities into a network framework.
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