Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method

• Main Authors: Li, X.-L, Tan, Y.-C, Ng, S.-K
• Other Authors: DEPT OF COMPUTER SCIENCE
• Format: Article
• Published: 2020
• Subjects: Experimental conditions; Functional annotation; Gene Expression Data; Gene function prediction; Hier-archical clustering; Microarray experiments; Prediction performance; Simultaneous monitoring; Forecasting; Gene expression; accuracy; article; cluster analysis; controlled study; fungal genetics; fuzzy system; gene expression; gene expression profiling; gene function; genetic analysis; genetic heterogeneity; mathematical computing; microarray analysis; prediction; quantitative analysis; support vector machine; algorithm; artificial intelligence; biological model; computer simulation; DNA microarray; evaluation study; fuzzy logic; genetics; metabolism; physiology; procedures; signal transduction; proteome; Algorithms; Artificial Intelligence; Cluster Analysis; Computer Simulation; Fuzzy Logic; Gene Expression; Gene Expression Profiling; Models, Biological; Oligonucleotide Array Sequence Analysis; Proteome; Signal Transduction
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/178009
• Institution: National University of Singapore

10.1186/1471-2105-7-S4-S23