List of top 10 significant genes with the highest degree with their general centrality parameters obtained from network analysis. by Jamal S. M. Sabir (521435)

“…<p>List of top 10 significant genes with the highest degree with their general centrality parameters obtained from network analysis.…”

List of the proteins that increased or decreased significantly with the progression of liver fibrosis. by Kumiko Shirai (13014884)

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Prediction of hyperemic coronary flow decrease. by Eisuke Usui (12111855)

Notes with the highest effects on perfume ratings. by Vaiva Vasiliauskaite (6911651)

The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. by Allison Andrukonis (11846404)

CBOW highest accuracy result visualization. by Ali Alhazmi (17054609)

“…The findings from the analysis revealed that the TF-IDF feature, when employed with the SGD model, attained the highest accuracy, reaching 98.21%. Subsequently, these results were contrasted with outcomes from three existing studies, and the proposed method outperformed them, underscoring the significance of the proposed method. …”

Top 3 genes in network ranked by degree method. by Guanran Zhang (1465090)

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TF-IDF highest accuracy result visualization. by Ali Alhazmi (17054609)

“…The findings from the analysis revealed that the TF-IDF feature, when employed with the SGD model, attained the highest accuracy, reaching 98.21%. Subsequently, these results were contrasted with outcomes from three existing studies, and the proposed method outperformed them, underscoring the significance of the proposed method. …”

N-gram highest accuracy result visualization. by Ali Alhazmi (17054609)

“…The findings from the analysis revealed that the TF-IDF feature, when employed with the SGD model, attained the highest accuracy, reaching 98.21%. Subsequently, these results were contrasted with outcomes from three existing studies, and the proposed method outperformed them, underscoring the significance of the proposed method. …”

Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

Hypothesis that explains and predicts expansion of ages of KD due to decreased IgG levels. by Hiromi Yamaguchi (2396248)

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Significant mutations in RAD52, BRCA2, BRCA1 and PALB2. by Abdulaziz B. Hamid (13804692)

Converting linguistic terms into IVF membership degrees. by Mina Bargar (22170960)

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Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

Significant interaction (time by group) for PPTd. by Einat Kodesh (13132997)

Significant decrease of the coiled-coil score in the double proline-substituted CAHS3 mutant. by Akihiro Tanaka (342394)

Agglomeration degree of older adults in the Yangtze River Delta in 2020. by Lianxia Wu (9969530)

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