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We initially compared different statistical approaches for pathway signature generation.
By combining statistical significance at the gene level and at the pathway level, MAPE is a novel kind of meta-analysis approaches for pathway enrichment analysis [ 4].
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In this paper, we propose a new approach for pathway search in phase transition simulation of crystal structures.
These findings are valuable for the evaluation of drug efficacy and thus provide an effective approach for pathway network-based drug discovery.
The results strongly support the idea of using a PET approach for pathway comparisons.
The significance of using this approach for pathway discovery in EOC is discussed.
USGSA is a computationally efficient approach for pathway analysis of GWAS data with promoted interpretability and comparability.
According to a proposed strategy, metabolites, proteins, and transcriptional profiling under two physiological states (e.g., metabolites accumulating versus nonaccumulating) can provide a novel approach for pathway elucidation in plants [ 8, 20].
Andrei Osterman, Burnham Institute for Medical Research, La Jolla, CA. A short article by D. Haft provides us with another beautiful illustration of the power of comparative genomic approach for pathway reconstruction and gene discovery.
Thus, Gene Set Enrichment Analysis (GSEA), which is an independent approach for pathway enrichment analysis that uses the whole set of genes without pre-selection [ 32], was also performed in addition to pathway analysis using DAVID and MetaCore performed with the differentially regulated genes.
In this review, we discuss recent advances in both in silico and experimental approaches for metabolic pathway design and engineering, with a critical assessment of their merits and remaining challenges.
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