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

الموضوعات:

AUROC of each test fold as a function of the number of attacks in the corresponding training fold. حسب Steven J. Krieg (12981584)

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

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

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

الموضوعات:

Log fold changes of genes involved in regulation of the complement pathway in the left ventricle [22] correspond to increased expression of pro-complement activation genes and decr... حسب Nicholas Markarian (18251668)

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

الموضوعات:

IR-induced mutation profiles of DNA repair mutants significantly different from wild-type. حسب Bettina Meier (274833)

الموضوعات:

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

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

Genes showing 1.5 fold expression increase in D381 relative to heterozygous <i>TOR1/tor1</i>. حسب Wanjun Qi (5571359)

Changes in the structural coverage at the protein level after AlphaFold. حسب Eduard Porta-Pardo (815937)

Pathway statistics: G3_SGE+BEV_vs_SGE, fold change <0.25. حسب Yasuhiko Hattori (8675172)

Average runtime per fold (in seconds) for each model and training strategy. حسب Dávid Držík (22145693)

Calibration curve showing the linearity of the method: Neu5Ac. حسب Hyo Jeong Kim (7490237)

The top 10 significant (p<0.05) glycopeptides according to fold change when samples were compared between Rochester mothers and OOM mothers. حسب Matilda Holm (5076659)

Multiple linear regressions for the predictors of the 24 character strengths and 6 virtues between the two groups. حسب Ghina Ghazeeri (766076)

DBFOLD predicts increased folding flux through the N-terminal pathway in protein L as compared to protein G. حسب Amir Bitran (3812257)

"…But for protein L, this ratio is higher, indicating increased N-terminal folding as compared to protein G. …"

Linearity coefficients of calibration curves for all six compounds (acetamiprid, azoxystrobin, estrone, estriol, progesterone, and testosterone). حسب Ekramy Halawa (11785086)

Mood and reward. حسب Vasileios Mantas (16949352)

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