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We did this for each module and tissue separately.
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To test the interplay between the disease module and tissues, we analyze the expression patterns of disease genes and genes in their network vicinity in the human interactome3,4,13,14.
An extended list of pathways and processes with the associated genes from the different modules and tissues is presented in Additional file 6: Table S3.
a) The significance of the overlap between the green consensus brain tissue microglia module and other microglia modules identified in brain tissue datasets is depicted.
Correlations between module eigengene value, N treatment and tissue type were calculated and the results are illustrated as a heatmap.
ITGA6, CCL3, and ITGAX were found to be associated with cell death and survival, while ITGB1, ITGAL, and CD226 were mapped to the cellular movement, cancer, and tissue development modules.
For 35 diseases, we did not find a statistically significant module in any tissue, and of the 64 tissues included in this analysis, 29 tissues did not have any disease associated with them.
b) The significance of the overlap between the green consensus brain tissue microglia module and the pure microglia priming blue modules and acute activated red module is depicted.
From the initial gene-module map, two modules (gene sets) that distinguish ES cells (the ESC-like module) and adult stem cells (the adult tissue stem cell module) were defined.
b Expression profile of NRGs in each module in various organs and tissues at different developmental stages based on 143 microarray data previously obtained by Sato et al. (2011) from leaf blade (6 samples), leaf sheath (4) root (4), stem (3), panicle (3), anther (3), pistil (3), lemma and palea (6), ovary (4), embryo (5), and endosperm (5).
Comparison of all genes (C ) and direct PcG targets (D ) upregulated in Psc/Su z 2 and Scrib module mutant tissues reveals statistically significant overlaps.
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