Your English writing platform
Discover LudwigSuggestions(2)
Exact(5)
Through supervised analysis, we constructed predictors which employ modules predictive of breast cancer outcome.
In conclusion, we used a meta-analysis of microarray data to identify gene modules predictive of DC activation.
Out of 17 key classifying modules predictive of metastasis, six were enriched in KEGG non-metabolic pathways: FOXO3_NM, TP53_NM, STAT1_M, hsa_miR_16_M, has_let_7e_M, has_miR_30a_M.
So these 17 modules were considered as the key regulatory modules predictive of HCC metastasis in our work, which altogether involved 139 unique genes and miRNAs in 5 NM and 12 M modules.
According to the approach of identifying key regulatory modules predictive of metastasis sub-statuses, these modules possess regulatory patterns which were disturbed in tumors with metastasis either disappeared or appeared).
Similar(55)
Using gene expression data from breast adenocarcinoma patient samples, changes in these modules were found to be highly predictive of cancer progression and patient morbidity.
Both steps in our method predict expression of genes, however, while the module discovery approach finds sequence motifs predictive of gene expression clusters, the network inference approach finds transcription factors predictive of the gene expression in each module.
We intend to find the hidden genes that show no significance by themselves but are clustered in a subnetwork module whose genes collectively are highly predictive of the disease status.
Here, we speculated that module-specific topological properties might be more predictive of spontaneous brain dynamics since brain development, aging and damages are mainly associated with functional changes in specific brain systems.
Survival analysis of a number of genes in this module in six publicly available datasets confirmed they were predictive of better outcome in Basal-like and ERBB2+ breast cancer (Supplementary Fig. S26).
A module enriched for cell cycle genes (named as cell cycle module) and conserved across the four corresponding networks is most predictive of survival in all the four studies, indicating cell proliferation contributes to breast cancer outcome.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com