Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Base composition of the ZbbZIP gene family. by Changming Liu (133667)

miRNAs that may have prognostic significance based on both TCGA-BC and METABRIC datasets. by Murat Kaya (578380)

Multivariate Linear Regression Analysis of Factors Associated with Pain Scores (VAS) in Children Aged 7–12. by Myriam Aïche (22290591)

Gene-based Manhattan Plots. by Allison E. Ashley-Koch (8578320)

Linear relationships (Spearman’s r (p-value)) the treatment-induced changes in clinical and neurophysiological data. by Soheila Qanbari (20455173)

Subjects:

Gene subtypes identification of characteristic genes based on RNA modification. by Lupeng Zhang (5118752)

Significantly affected pathways (p < = 0.05) based on Ingenuity Pathway Analysis (IPA). by Nabil F. Saba (3607601)

Summary statistics from linear models with biomarkers. by Margaret Sunitha Selvaraj (13994016)

Summary statistics from linear models with metabolites. by Margaret Sunitha Selvaraj (13994016)

Enrichment analysis for genes that were significant in LIFE-Adult and LIFE-Heart. by Michael Rode (2801746)

Subjects:

Anion-Assisted Glycosylation of Galactose: A Computational Study by Kerli Tali (22769704)

Subjects:

Predictor importance for predicting stock market using neural network and linear predictor. by Dania AL-Najjar (11840857)

Subjects:

GO significant enrichment analysis of DEGs. by Xi Zhen (2828450)

Genes significantly correlated with TRIM6 expression in TCGA AML cohort. by Jingxin Zhang (737647)

Multivariate linear regression models for three approaches. by Bulent Gucyetmez (849602)

Complete results of the GO enrichment analysis for the merged gene sets in modules significantly associated with RF by the reference-based method. by Xiaoxiao Shi (109071)

“…<p>Complete results of the GO enrichment analysis for the merged gene sets in modules significantly associated with RF by the reference-based method.…”

Complete results of the KEGG enrichment analysis for the merged gene set in modules significantly associated with RF by the reference-based method. by Xiaoxiao Shi (109071)

“…<p>Complete results of the KEGG enrichment analysis for the merged gene set in modules significantly associated with RF by the reference-based method.…”

Heatmap of most significantly differentially expressed genes. by M. T. Badr (6433574)

“…<p>Heatmap showing the relative expression of the 50 most significantly differentially expressed genes (DEGs) of the 341 significant DEGs identified through the meta-analysis, where 205 genes were co-up-regulated, and 136 genes were co-down-regulated (TB and RA versus control). …”

The slope for all significant factors on the number of steps before a fall across all three speeds. by Amy Mitchell (3208905)