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

3D features significantly improve CRISPR prediction. by Shaked Bergman (18784567)

Subjects:

Significance analysis results. by Yicheng Long (366418)

“…<div><p>Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. …”

Vibriocidal activities were significantly decreased by depletion of IgM in serum. by Jae Seung Yang (701319)

DICER protein expression is significantly decreased in the absence of MOV10 and FMRP. by Monica C. Lannom (11772729)

Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

Feature importance scores based on log-variance features for a representative participant. by Sinan Uslu (17636400)

Feature importance of the extracted characteristics from the simulation using Mean Decrease in Impurity (MDI). by Simon Bin Akter (17951860)

Significant compounds based on significant Analysis of Metabolites of <i>S. shimperi</i> extracts by METLIN on XCMS. by M. Azene (22553313)

Subjects:

Number of CTD inferred g2p edges discovered with cluster predicted to be significant vs non-significant based on the four thresholds. by Michael S. Bradshaw (11772750)

“…<p>Number of CTD inferred g2p edges discovered with cluster predicted to be significant vs non-significant based on the four thresholds.…”

MAE significance comparison between MSCALSTM and baseline models based on PeMSD4 dataset. by Zhifei Yang (14613332)

MAE significance comparison between MSCALSTM and baseline models based on PeMSD7 dataset. by Zhifei Yang (14613332)

MAE significance comparison between MSCALSTM and baseline models based on PeMSD3 dataset. by Zhifei Yang (14613332)

MAE significance comparison between MSCALSTM and baseline models based on PeMSD8 dataset. by Zhifei Yang (14613332)

Pairwise comparisons and significance tests between algorithms for each regression metric. by Shikun Chen (14625352)

Subjects:

Display of significance test results. by Qingchun Jiao (18388097)

“…In this study, the trend prediction model for the experimental process of fabric tear performance testing (BLTT-FT) based on the “bidirectional long- and short-term attention mechanism” is adopted. …”

Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

Predicted cost of significant obstetric complication from fitted model. by A. Thi Win Shwe (6490502)

Comparison of the estimated SNP-based heritability and predictive performance across the 813 traits with significant PRSs. by Yosuke Tanigawa (8805017)

Cross-orientation inhibition was learned by our DN model and the three-layer CNN, but not significantly by the subunit model. by Max F. Burg (10934141)