Venn diagrams of the number of DEGs between each comparison. by Wardah K. Mustahsan (17484456)

MAE significance comparison between MSCALSTM and baseline models based on Energy dataset. by Zhifei Yang (14613332)

“…<p>MAE significance comparison between MSCALSTM and baseline models based on Energy dataset.…”

Gene set enrichment analysis (GSEA) of the DEGs. by Wei He (131453)

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

“…Nevertheless, research on glycosyltransferase-related lncRNAs (GTRLs) in endometrial cancer (EC) is still unclear. In this study, we constructed a novel prognostic model based on GTRLs using univariate Cox regression, Lasso, and multivariate stepwise Cox regression analysis. …”

DEGs between adjacent phases. by Yalan Yang (735975)

Flowchart of the avatar’s motion in HEARTS, where T_i = 15 deg, T_d = 700 mm, and T_a = 25 deg. by Atsushi Nakazawa (15892700)

Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

Subjects:

Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

Subjects:

Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

Subjects:

Cortical mapping of the fraction of significant voxels for binary-labeling models. by Satoshi Nishida (690175)

Comparison of the fraction of significant voxels between original and control word vector-based models. by Satoshi Nishida (690175)

Identification of DEGs and DESRGs of AD in the GSE52093 dataset. by Wei He (131453)

Different effects of intervention: We simulate an intervention that decreases the nosocomial transmission rate by a factor of 70% (<i>β</i>→0.3<i>β</i>) starting from January 2011.... by Tal T. Robin (17847380)

Significance test results of the basic model. by Shanshan Lu (580920)

Subjects:

AIC and number of significant covariates (#) for the BF based and the saturated models over the 58 locations. by Ana Martins (187412)

The ten most significant features of the Random Forest model based on classification accuracy. by Nguyen Tat Thanh (10296398)

Subjects:

Significant test result of two forecasting models. by Hongzhi Wang (617138)

Cortical mapping of the fraction of significant voxels for other dimensions of GloVe vectors. by Satoshi Nishida (690175)

Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors. by Satoshi Nishida (690175)

“…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”

Consistency of inter-regional patterns of significant-voxel fraction for GloVe vectors. by Satoshi Nishida (690175)