Featured gene

IFGFA: Identification of featured genes from genomic data using factor analysis

C. H. Fu, Deng, S., Wu, J. H., Wu, X. Q., Fu, Z. H., Yu, Z. G., Fu, C. H., Deng, S., Wu, J. H., Wu, X. Q., Fu, Z. H., and Yu, Z. G., IFGFA: Identification of featured genes from genomic data using factor analysis, vol. 15, p. -, 2016.

In this study, a software tool (IFGFA) for identification of featured genes from gene expression data based on latent factor analysis was developed. Despite the availability of computational methods and statistical models appropriate for analyzing special genomic data, IFGFA provides a platform for predicting colon cancer-related genes and can be applied to other cancer types. The computational framework behind IFGFA is based on the well-established Bayesian factor and regression model and prior knowledge about the gene from OMIM.

Subscribe to Featured gene