DE genes detected by different DEA algorithms. حسب Jie Xue (417504)

"…Here, we compare 6 performance metrics on both simulated and real scRNA-seq datasets to assess the adaptability of 8 DEA approaches, with a particular emphasis on how well they function under small biological replications. Our findings suggest that DEA algorithms extended from bulk RNA-seq are still competitive under small biological replicate conditions, whereas the newly developed method DEF-scRNA-seq which is based on information entropy offers significant advantages. …"

Cuproptosis related genes function and pathway enrichment analysis. حسب Qing Xia (114230)

Cuproptosis related genes function and pathway enrichment analysis. حسب Qing Xia (114230)

Top 15 hub genes in five algorithms. حسب Tianqi Liu (1625776)

Functional enrichment analyses of Co-genes. حسب Qingcong Zheng (11169094)

Perturbing gene expression via mitotic recombination. حسب Sebastian M. Bernasek (8525829)

Significance levels of gene biomarkers. حسب Zongjin Li (38031)

الموضوعات:

The gene biomarkers by the proposed method. حسب Zongjin Li (38031)

الموضوعات:

ROC curve for gene biomarkers. حسب Zongjin Li (38031)

الموضوعات:

Test to find best k-tuple algorithm settings. حسب Elzbieta Rembeza (5114207)

Step by step comparison of enrichment algorithms. حسب Nicholas Markarian (18251668)

Gene function enrichment analysis: GO function enrichment analysis (A) and KEGG pathway enrichment analysis (B). حسب Yaling Hu (11648397)

Top five enriched functions for genes in cluster 1. حسب Benafsh Husain (7140098)

Full functional enrichment analysis of bimodal cluster genes. حسب Benafsh Husain (7140098)

The proposed method for protein function prediction. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

Visualization of the RITSS algorithm. حسب Julian Hecker (758791)

ROC for all gene biomarkers as features. حسب Zongjin Li (38031)

الموضوعات:

Core genes were selected through PPI analysis based on three algorithms. حسب Dong-Hee Han (140305)

"…<p>Among 46 DEGs whose expression significantly changed in A549 and BEAS-2B cell lines, the core genes were selected using three algorithms: MCC, MNC, and DEGREE. …"

Functional annotation enrichment of gene lists upregulated during molting. حسب Alexandra Grote (3878305)

Immune infiltration analysis by ssGSEA algorithm. حسب Yubin Xue (1537042)