Identifying the unique pathogenic patterns underlying the phytopathogenic fungi is important for plant disease control. This paper presents a novel method for identifying the specific conserved patterns for the pathogenic species. By employing a feature selection technique, the specific patterns that best discriminate the pathogenic species from non-pathogenic ones are identified, which are ass...

The aim of the present study was to predict pathogenic genes for primary myelofibrosis (PMF) using a system‑network approach by combining protein‑protein interaction (PPI) network and gene expression data with known pathogenic genes. PMF gene expression profiles, known pathogenic genes and protein‑protein interactions were obtained. Using these data, differentially expressed genes (DEGs) were i...