MADS-Box Gene Classification in Angiosperms by Clustering and Machine Learning Approaches.

ABSTRACT: The MADS-box gene family is an important transcription factor family involved in floral organogenesis. The previously proposed ABCDE model suggests that different floral organ identities are controlled by various combinations of classes of MADS-box genes. The five-class ABCDE model cannot cover all the species of angiosperms, especially the orchid. Thus, we developed a two-stage approach for MADS-box gene classification to advance the study of floral organogenesis of angiosperms. First, eight classes of reference datasets (A, AGL6, B12, B34, BPI, C, D, and E) were curated and clustered by phylogenetic analysis and unsupervised learning, and they were confirmed by the literature. Second, feature selection and multiple prediction models were curated according to sequence similarity and the c

SUBMITTER: Chen YT 

PROVIDER: S-EPMC6333052 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature