Integration of gene co-expression analysis and multi-class SVM specifies the functional players involved in determining the fate of HTLV-1 infection toward the development of cancer (ATLL) or neurological disorder (HAM/TSP) - Zarei Ghobadi, Mohadeseh; Emamzadeh, Rahman (PloS one, 2022)
Keywords: Algorithms; Apoptosis; Biology and Life Sciences; Biomarkers; Cancer; Central nervous system diseases; Classification; Classifiers; Computer and Information Sciences; Datasets; Disease; Feature selection; Gene expression; Gene Expression Profiling; Gene Expression Regulation; Genes; Genetic Markers; Hereditary spastic paraplegia; HTLV-I Infections - complications; HTLV-I Infections - genetics; HTLV-I Infections - metabolism; HTLV-I Infections - virology; Human T-lymphotropic virus 1 - genetics; Humans; Infections; Leukemia; Leukemia-Lymphoma, Adult T-Cell - etiology; Leukemia-Lymphoma, Adult T-Cell - metabolism; Leukemia-Lymphoma, Adult T-Cell - pathology; Lymphocytes T; Lymphoma; Medicine and Health Sciences; Modules; Molecular biology; Nervous System Diseases - etiology; Nervous System Diseases - metabolism; Nervous System Diseases - pathology; Neurological diseases; Pathogenesis; Physical Sciences; Players; Power; Prostate cancer; Proteins; Research and Analysis Methods; Spastic paraparesis; Spinal cord; Support Vector Machine; Support vector machines; Therapeutic targets; Traveling salesman problem; Tropical spastic paraparesis; Viruses; Iran