Comparison of statistically significant variants in all sample groups. by Tugce Ertuzun (7252439)

MAF1 protein expression is significantly decreased in luminal, HER2-positive, and TNBC breast cancer subtypes. by Stephanie Cabarcas-Petroski (9631636)

Results showing significant GM differences between the AD and HC groups. by Yubraj Gupta (7465394)

Heatmaps of significant community cohesion differences between paired groups. by Yan He (116705)

Subjects:

Heatmaps of significant community disjointedness differences between paired groups. by Yan He (116705)

Subjects:

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

Significant differences in the whole brain maximal BOLD response amplitude evoked by different temperatures before and after RTX-treatment. by Isabel Wank (12475626)

Visual representation of the significant IDPs among the seven most prevalent measures. by Ahmed Salih (10005591)

“…<p>For the six diffusion indices (top six rows) the tracts that are significantly associated with TL are highlighted. The last row shows the cortical regions with a significant effect of TL on gray-white matter intensity contrast. …”

Comparative discussion of the proposed IV3TM model based on the Brain MRI dataset. by Afnan M. Alhassan (18349378)

A visualization for the location of the electrodes showing significant differences between the reading conditions per frequency band. by Michal Zivan (15626736)

Subjects:

Significant SNPs associated with Bayley phenotypes using two-way dependency measures (mutual information, MI). by Lisa Uechi (9727552)

summary of the confidence intervals. by Yohannis Derbew Molla (16471771)

Subjects:

PRISMA flowchart of the study selection process. by Yohannis Derbew Molla (16471771)

Subjects:

Significant axial diffusivity clusters from TBSS analysis. by Lindsey T. Thurston (13135554)

Subjects:

Results showing significant GM differences between the HC and mAD groups. by Yubraj Gupta (7465394)

Significant major depression candidate risk genes for three gene-based methods (MAGMA, eMAGMA, S-PrediXcan). by Zachary F. Gerring (6954416)

Significant between-group differences in degree centrality comparing the RTHβ group to healthy controls. by Martin Göttlich (477352)

Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

Subjects:

Comparative discussion of the proposed IV3TM model based on the Figshare dataset. by Afnan M. Alhassan (18349378)

Spearman correlation of age with proportions of cell types in men, for each brain region. by Arttu Autio-Kimura (20454681)