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We have classified reactions in our global reaction set into different biochemical pathways using the pathway information [ 72] for reactions in the KEGG database [ 41], along with subsystem information [ 73] for the remaining reactions in the E. coli metabolic model iJR904 [ 42].
Furthermore, using the pathway information of ConsensusPathDB and performing Gene Set Enrichment analysis, we have found evidences of an enrichment of affected genes related to the Extracellular Matrix in DS studies (ECM-RECEPTOR INTERACTION, FOCAL ADHESION, INTEGRIN and INTEGRIN CELL SURFACE INTERACTIONS).
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The regularizer in Equation (3) uses the pathway information matrix to enforce pathway-level similarity.
We used the pathway information available in the KEGG database to establish relationships between target genes and potential regulators.
We used the pathway information from the KEGG pathway database (www.genome.jp/kegg/pathway.html) by mapping genes from the cancer studies into the database, particularly in the categories of Environmental Information Processing, Cellular Processes and Organismal Systems.
While our method uses the pathway vectors only for the positive class examples (via the matrices P s and P t), this baseline uses the pathway information for all examples via features.
These reactions were used to populate a newly created pathway frame using the Pathway Editor, and the pathway annotated using the Pathway Information Editor.
Because the proteins with the phenotype of sensitivity to immunosuppressants lacked the pathway annotation, the similarities of other 10 phenotypes were calculated using the protein pathway information.
Functional analysis and pathway enrichment analysis were conducted using DAVID [10], where the pathway information is based on the annotation from KEGG, BBID and BIOCARTA.
We then use the canonical pathway information to drive a specific network analysis to indentify hub genes that may mediate communication across pathways.
Besides, the pathway information is used as a filter of the 'Search' function.
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