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).…”

The main characteristics of the 35 studies included in the systematic review categorized by their study designs. by Hattapark Dejakaisaya (22238613)

Source data for main figure graphs in this study. by Kristen L. Lokken-Toyli (9455263)

Main feature classes used to train the OCS algorithm for task-scheduling problems. by Simon Taub (12262035)

Predicted length of stay based on anesthetic group. by Priyanka Singla (20384010)

The main ionic components of groundwater in the study area. by Miaomiao Ma (2475883)

T-test results(Values in bold indicate significant differences at 90% confidence). by Chongren Wang (6652616)

Features with significant variance discrepancies affecting classification accuracy. by Yifan He (3986123)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

The mevalonate pathway (cholesterol biosynthesis): the place of action of statins, and their main effects. by Ewa Paszkowska (21246702)

Subjects:

The pro-inflammatory cytokines were mainly inhibited but anti-inflammatory genes were significantly activated in zebrafish embryos under PGRP5-KD conditions. by Xi Li (19208)

Significance levels of gene biomarkers. by Zongjin Li (38031)

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Mutation L35F in <i>murA</i> results in a significant decrease of PG amount in the <i>ΔdacA1</i> background. by Manuela Alvarado Obando (18340526)

Correlation heatmap with significance. by Bo Dong (218172)

“…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …”

Main effects of range analysis. by Zhengguo Zhu (2676715)

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Main characteristics of the FORCCHN model. by Junfang Zhao (299684)

Subjects:

Main instruments and equipment for experiment. by Xin Kuang (17390340)

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

Table1_Identification of significant biomarkers for predicting the risk of bipolar disorder with arteriosclerosis based on integrative bioinformatics and machine learning.xlsx by Xiabing Zheng (19527181)