RNA-seq

SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data

Gene expression data provide an abundant resource for inferring connections in gene regulatory networks. While methodologies developed for this task have shown success, a challenge remains in comparing the performance among methods. Gold-standard …

Integrating gene regulatory pathways into differential network analysis of gene expression data

**Background:** The analysis of gene-gene co-expression networks provides insight into the function of gene products. Exposing network irregularities offers an avenue for discovery in systems biology; these pursuits can include the study of gene …

Predicting survival times for neuroblastoma patients using RNA-seq expression profiles

**Background:** Neuroblastoma is the most common tumor of early childhood and is notorious for its high variability in clinical presentation. Accurate prognosis has remained a challenge for many patients. In this study, expression profiles from …