atBioNet– an integrated network analysis tool for genomics and biomarker discovery - Ding, Yijun; Chen, Minjun; Liu, Zhichao; Ding, Don; Ye, Yanbin; Zhang, Min; Kelly, Reagan; Guo, Li; Su, Zhenqiang; Harris, Stephen C; Qian, Feng; Ge, Weigong; et al. (BMC genomics, 2012)
Keywords: Algorithms; Animal Genetics and Genomics; biomarkers; Biomarkers - metabolism; Biomedical and Life Sciences; Breast cancer; Case studies; Cluster Analysis; Computational biology; Computer programs; Data processing; Databases, Protein; Disease biomarker; Functional module; Genomics; Humans; Integration; Interactomes; KEGG pathway analysis; Leukemia; Life Sciences; Medical research; Medicine, Experimental; Metabolic Networks and Pathways; Microarrays; Microbial Genetics and Genomics; Network analysis; Network management software; Plant Genetics and Genomics; Protein interaction; Protein Interaction Maps; Protein-protein interaction; Protein-protein interactions; Proteomics; Software; Statistical analysis; Systemic lupus erythematosus; Toxicity; Transcriptomic methods; Type 2 diabetes; User-Computer Interface; Visualization tool; United States; Disease biomarker; Protein-protein interaction; Functional module; Network analysis; Genomics; KEGG pathway analysis; Visualization tool