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

Analysis of significant differences in ARG abundance for the geographical clusters in figure 3S. by Markus H. K. Johansson (17241650)

Analysis of significant differences in MGE abundance for the geographical clusters in figure 2S. by Markus H. K. Johansson (17241650)

Statistically significant clusters for each contrast by the group analysis (n = 29). by Yuji Uchiyama (135480)

The significance of predictor variables from the randomised (100) Poisson GLM models for distant trap groups. by Stella Gachoki (16024540)

Method of determining the order of predictors in model. by Sarah Weir (11938602)

Independent predictors of receiving ECR. by Deanna H. Wong (11812836)

Hierarchal clustering of the HDV and HBV datasets identified distinct temporal clusters. by Braden S. Fallon (15353801)

Subjects:

Entropy of clusters. by Pramod Divakarmurthy (19207376)

In-hospital mortality predictors in univariable and multivariable analysis. by Lorena Micheline Alves Silva (11681826)

Increasing the number of (T)GCATG motifs in clusters does not increase the gene isoform expression change. by Francesco Tomassoni-Ardori (22216521)

“…Note the dramatic inverse correlation in the number of genes with eCLIP peaks as clusters have increased (T)GCATG motifs number. ** p ≤ 0.01; *** p-value≤ 0.00001; ns, non-significant.…”

Succinate and Sucnr1 levels were significantly increased. by Jiaqi Wang (369548)

Frequency of categories selected as the most significant <i>kando</i> events. by Haruka Shoda (2622835)

Summary of predictors that increase (+ UC) and decrease (- UC) the dose of propofol for the three statistical models used for data analysis. by Chiara E. Hampton (16484687)

Summary of significant submodules detected by the best performing FN and Spectral clustering algorithms. by Zerrin Isik (5736857)

The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

Subgroup models following significant interaction between tobacco use and sex. by Shakila Meshkat (12360623)

Summary of statistically significant clusters for the slope and offset contrasts by group analysis (n = 29). by Yuji Uchiyama (135480)

Analysis of users by clusters. by Pramod Divakarmurthy (19207376)

Biopsychosocial model of fear of COVID-19 –Predictors/non predictors in the multiple regression model with B-values and p-values. by Patrick Nürnberger (12160940)

Subjects: