Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

Number of significant genes and fold change. by Gordon A. Barr (11163243)

GO enrichment of gene and TF sets significantly associated with phenotypes. by Sam De Meyer (12320087)

Significant predictors in ZIB models in Experiment Part 2. by Kuangzhe Xu (17094765)

Averages of the fold decreases in the MICs of tested antibiotics in the presence of the tested compounds. by Safaa Abdel-Aal Mohamed Abdel-Karim (13175696)

MiR-129-5p levels were decreased in mouse depression models. by Qiaozhen Qin (13159201)

“…The Y-axis represents the fold change, while the X-axis indicates the significance of differential expression. …”

Comparison between pathogens showing decreased forced vital capacity and forced expiratory volume in patients in the Staph group. by Paulo Kussek (13410476)

Introgression decreases allelic shuffling. by Enrique J. Schwarzkopf (6579275)

Photografted Zwitterionic Hydrogel Coating Durability for Reduced Foreign Body Response to Cochlear Implants by Adreann Peel (11232456)

Subjects:

Photografted Zwitterionic Hydrogel Coating Durability for Reduced Foreign Body Response to Cochlear Implants by Adreann Peel (11232456)

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Actin-Targeted Magnetic Nanomotors Mechanically Modulate the Tumor Mechanical Microenvironment for Cancer Treatment by Xing Fan (88299)

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Variations in the force coefficients. by Shantanu S. Bhat (5446082)

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

Tokenisation and embedding procedure for the development of ordinal all-predictor-based models (APMs). by Shubhayu Bhattacharyay (11242977)

“…The tokenisation process is illustrated with three example predictors and their associated values in step 2. The first entry in the trained token dictionary (‘0) ‘) of step 3 is a placeholder token for any tokens encountered in the testing set that were not seen in the training set. …”

Performance of the evaluated classifiers on the training and the test data sets. by Jacek Kaczyński (21526339)

Subjects:

The CDF of normal and tangential contact forces in numerical specimens after compression considering different particle morphologies: (a) normal contact force; (b) tangential conta... by Yongfeng Zhu (7361045)

The average number of predictors selected as significant by each method under each <i>N.</i> by A. D. V. Tharkeshi T. Dharmaratne (12200879)

GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value). by Sangeetha Muthamilselvan (8966006)

OS correlation of differentially expressed miRNAs (> 2-fold increase or decrease in HCC vs normal livers), according to KMP; miRNAs in bold are significantly correlated with OS. by Kayleigh Smith (17816667)

“…<p>OS correlation of differentially expressed miRNAs (> 2-fold increase or decrease in HCC vs normal livers), according to KMP; miRNAs in bold are significantly correlated with OS.…”

The principal component analysis (PCA) of the QSAR model predictors in the training set. by Alireza Mohebbi (8898170)