Exact(4)
To increase the sensitivity of the score for identifying new modules involved in core stemness, overlaps with modules of high cell diversity were more highly weighted compared to modules of lower diversity.
The modules of High Throughput Virtual Screening (HTVS) and Standard Precision (SP) were used as filters sequentially in the virtual screening.
These endometrial cancer-related genes were used to reconstruct the EC-associated co-expression network (module) and identify a number of modules of high co-expression genes.
Using this algorithm, Li and colleagues report novel prognostic gene modules of high negative predictive values (87 to 100%) and that are related to cancer hallmarks, notably cell-cycle, apoptosis and cell-adhesion [ 11].
Similar(56)
A comparison to the results of Wong et al. (2008) [6] demonstrated that the homolog modules were enriched for modules of higher recurrence than the modules reported in the Stemness Module Map (Figure S3).
It can be seen that the modules of higher and higher hierarchical levels correspond to larger and larger groups (e.g. the modules of the modules etc). of the original network nodes.
This strategy therefore filters out genes and gene-pairs with irrelevant or inconsistent expression patterns, while also identifying modules of high-edge density, that is, subnetworks of genes that show consistent and significantly correlated (or anticorrelated) patterns across the panel of tumours.
To assess the robustness of this definition of a coexpression module and to test whether the resulting modules were of high quality (rather than generated by chance), we examined their reproducibility by a resampling procedure [ 38].
Understanding if these shadows determines a reduction of PV power production or are damaging the PV modules, considering the abnormal temperature behavior of the modules, is of high interest.
Within the network modules (groups of high connectivity genes within the network) produced by the different datasets for gene ontology enrichment, 3 distinct modules that were common to the 3 different data sets were detected (Table 1 and Figure 6).
This was done by ranking all modules from most to least responsive to CR (or aging) (i.e., rank modules by M), and discarding any module sharing at least one gene with any more responsive module of higher rank.
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