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Of the 26 GO-BP (Biological Processes) classes identified by the Klaper et al. [ 12, 13] study (using FatiGO), 14 sets for acute and 12 sets for chronic treatments, GSEA identified six significantly enriched sets in the acute treatment (Table 1) and no sets in the chronic treatment (Table 2).
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Cell processes class included proteins related to translation, transcription, and chaperoning (Additional file 2).
The highest fraction of differentially expressed genes among the biological processes class included genes linked to cholesterol biosynthesis, protein metabolism, or ribosome biogenesis.
Subsequently, a sequential appearance of dendritic cell processes, class II antigens, components of the complement system, and coagulation factors has been reported [ 16].
Genes previously in class 4.0.0 have now transferred to a wide range of different functional classes including 'cell processes' (class 1.0.0), 'sporulation' (class 1.8.1), 'extrachromosomal' (class 5.0.0) and 'conserved hypothetical' (class 0.0.2) reflecting transitions between functional classes based on more accurate annotation tools and increasing numbers of C. difficile genomic studies.
This model is categorized into five higher abstraction levels of digital investigation process classes including readiness class, initialization class, acquisition class and investigative class.
The present modelling approach is based on three requirements: (1) persistent recording of the process, (2) need for a local notification mechanism and (3) straight forward transformation of formalised processes into process classes within the TIS.
nEASE found that the EASE-significant GO biological process classes, cell proliferation, protein modification, mitosis, cell growth and/or maintenance, cytoskeleton organization and biogenesis, and physiological process are collectively driven by the biological processes cell adhesion and integrin-mediated signaling.
We annotate process classes using appropriate reference ontologies (e.g. GO CellCellAdhesion).
We use the ELK reasoner to automatically place GO chemical process classes based on their logical definition and placement in ChEBI.
Thus, our model assumes that the branch lengths of the input tree have been generated by two independent Poisson process classes.
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