Effect of class imbalance on predictive performance. by Thierry Jean (20691795)

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Ordinal regression task performance. by Thierry Jean (20691795)

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Ordinal regression predictions. by Thierry Jean (20691795)

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Binary classification predictions. by Thierry Jean (20691795)

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No significant differences in the numbers of eggs between Mst1^+/+ and Mst1^ΔM/ΔM mice. by Jianyang Li (461703)

Cinnamaldehyde repellency test within 6 hours in parthenogenesis <i>H. longicornis.</i> by Ceyan Kuang (8554557)

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Average difference in mean daily exercise minutes in the week before and after the specified software transition, using different minimum data thresholds. by Shelby L. Sturrock (10751675)

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Average difference in mean daily active calories in the week before and after the specified software transition, using different minimum data thresholds. by Shelby L. Sturrock (10751675)

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Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

“…<p>Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.…”

Nineteen SNPs with significant association (<i>P < </i>5 × 10⁻⁸) with risk on minJSW decrease in knee OA. by Mieke L. M. Bentvelzen (21594442)

“…<p>Nineteen SNPs with significant association (<i>P < </i>5 × 10⁻⁸) with risk on minJSW decrease in knee OA.…”

Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx by Ingrid Carolina Corredor-Perilla (22631510)

“…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …”

Testing set error. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”

Log2 fold change (FC), mean and standard deviation (SD) of each lipid specie from the normal liver (NL) and simple steatosis (SS) groups, and adjusted p-values. by Laia Bertran (3685147)

Differential miRNA target gene pathway enrichment bubble map. by Zhaowen Tan (12283502)

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Volcano plot and clustering of differentially expressed miRNAs. by Zhaowen Tan (12283502)

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Summary of miRNAs sequencing data quality. by Zhaowen Tan (12283502)

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Differential expression of miRNAs in SHR-SED group and BFRT group (all miRNAs). by Zhaowen Tan (12283502)

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Histogram of the GO functional enrichment of differential miRNA target genes. by Zhaowen Tan (12283502)

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The miRNA target genes. by Zhaowen Tan (12283502)

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Changes in SHR body weight, hemodynamics and cardiac function before and after training. by Zhaowen Tan (12283502)

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