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

The dynamic TRF improves prediction accuracy significantly only for attended speech. by Jin Dou (13831985)

“…<p>The prediction accuracy was measured using Pearson’s correlation, and the significance of improvement is measured using paired Wilcoxon signed rank tests. …”

Statistical significance results based on dominant hand measurements. by Mehmet Yetiş (10654227)

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

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Demographic distributions of the patients and significant differences between the training and test datasets. by Kenta Ninomiya (9969368)

Significant driver genes predictive of drug response by SNV. by Zeyuan Wang (6956759)

Predicted genetic effects of individual and epistasis loci with standard error, significance, and heritability for body surface area in the base model. by Mita Khatun (6038036)

“…<p>Predicted genetic effects of individual and epistasis loci with standard error, significance, and heritability for body surface area in the base model.…”

Predicted probabilities of supporting FGM/C based on perceived benefits for cut girls (significant variables according to Model 1). by Livia Elisa Ortensi (21262012)

“…<p>Predicted probabilities of supporting FGM/C based on perceived benefits for cut girls (significant variables according to Model 1).…”

Mechanisms of Cellulose Fiber Comminution to Nanocellulose by Hyper Inertia Flows by Jakob D. Redlinger-Pohn (11902058)

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Mechanisms of Cellulose Fiber Comminution to Nanocellulose by Hyper Inertia Flows by Jakob D. Redlinger-Pohn (11902058)

Subjects:

Mechanisms of Cellulose Fiber Comminution to Nanocellulose by Hyper Inertia Flows by Jakob D. Redlinger-Pohn (11902058)

Subjects:

Prediction of bacterial BugBase phenotype. by Jun Sun (48981)

AlphaMissense prediction of CFTR variants of unknown significance (VUS). by Eli Fritz McDonald (7382066)

The relationships among tumor size, imaging parameters, and RNA expression. by Seiichiro Takao (11402429)

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Ribosomal protein subunit large (Rpl) and small (Rps) transcripts are expressed at decreased levels at the site of <i>L</i>. <i>major</i> infection. by Gopinath Venugopal (638444)

Observed and predicted changes for the five metabolites significantly associated with the rs603424 SNP. by Juliette Cooke (11402543)

The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples. by Marc Van Der Hofstadt (1423027)

The comparisons of power under 5% significance level based on 5000 Monte Carlo simulations. by Long Liu (390523)

Analysis of significantly different lipids between the normoxia and hypoxia groups. by Hong Liang (116853)

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Image_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.tif by Guodong Jing (13048956)

“…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”