Significant SNPs for yield and yield components in all analysis based on 1000 permutation threshold. by Yan Yang (33204)

Feature contributions for the selected features based on the RF model. by Nishat Tasnim Thity (21755858)

Odds ratio analysis of statistically significant variables for TE and CAP scores. by Wayne Eskridge (11773009)

Subjects:

Adversely interacting drug pairs and non-interacting drug pairs significantly differ with regard to the 11 features selected. by Sheng Qian (5944997)

Summary of the significance peaks identified using the Model 2 genomic results. by Katja R. Kasimatis (4683505)

Maximum likelihood phylogram of mammalian WDR75 based on DNA sequences. by Lauren Lee (2325799)

Polypharmacology molecules selected based on the top rank of targets. by Elmira Nazarshodeh (11836308)

A summary of the significant leukemia classification research work based on gene datasets. by Mahwish Ilyas (17118167)

Sizes and similarity of the individual Gini-based and SHAP-based SPARTA selections. by Baptiste Ruiz (20285217)

Feature generation-based data normalization, ranking, and feature selection. by Mwenge Mulenga (20636717)

Selected representative coal samples based on BAI concentration for exposure studies. by Ruchika Kishor Jain (19704102)

Feature selection criterion value vs. the number of selected features for the GMM-based system. by Marina Eni (11973229)

Distribution of key metrics for assessing gene block and individual gene significance across PLS-based methods. by Muhammad Tahir (741682)

Subjects:

Power curves for the feature selection based on Boruta algorithm. by Jing Zhou (168494)

Variable Selection Based Testing for Parameter Changes in Regression with Autoregressive Dependence by Lajos Horváth (5598956)

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n_empirical = 305 units from 5 recording sessions, n_shuffled = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n_empirical = 180 units from 4 recording sessions, n_shuffled = 18000 simulated units from 4 recording sessions). …”

Significant pathways enriched by KEGG and GO. by Yanpin Zhao (20141281)

Subjects:

Summary statistics and candidate genes from significant GPSM SNPs for Red Angus, Simmental, and Gelbvieh populations. by Troy N. Rowan (11172129)

Rank of states based on growth rates for selected indicators. by Sumandeep (18536459)

Calculated importance of the features selected based on relevance to MQI. by Naiara Virto (20490408)