Analysis of Gene Expression Profiles of Soft Tissue Sarcoma Using a Combination of Knowledge-Based Filtering with Integration of Multiple Statistics - Takahashi, Anna; Nakayama, Robert; Ishibashi, Nanako; Doi, Ayano; Ichinohe, Risa; Ikuyo, Yoriko; Takahashi, Teruyoshi; Marui, Shigetaka; Yasuhara, Koji; Nakamura, Tetsuro; Sugita, Shintaro; Sakamoto, Hiromi; et al. (PloS one, 2014)
Keywords: Algorithms; Analysis; Biomarkers, Tumor - genetics; Biotechnology; Cancer; Cell cycle; Cell division; Data processing; Delivery services; Deoxyribonucleic acid; Diagnosis; Differential diagnosis; DNA; DNA methylation; DNA microarrays; DNA repair; Female; Filtration; Fuzzy logic; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Genes; Genetics; Genomes; Genomics; Horticulture; Humans; Hypoxia; Identification; Integration; Knowledge Bases; Knowledge bases (artificial intelligence); Male; Markers; Medical diagnosis; Medical prognosis; Medicine and Health Sciences; Middle Aged; Neoplasm Proteins - genetics; Neural networks; Oligonucleotide Array Sequence Analysis; Pathology; Patients; Permutations; Plant biology; Prognosis; Proteins; Research and Analysis Methods; Sarcoma; Sarcoma - diagnosis; Sarcoma - genetics; Sarcoma - metabolism; Sarcoma - mortality; Soft Tissue Neoplasms - diagnosis; Soft Tissue Neoplasms - genetics; Soft Tissue Neoplasms - metabolism; Soft Tissue Neoplasms - mortality; Soft tissue sarcoma; Software; Stat1 protein; STAT1 Transcription Factor - genetics; Statistical analysis; Statistics; Survival; Survival Analysis; Tissues; Tuberculosis; Tumors; Variance analysis