PGD: a machine learning-based photosynthetic-related gene detection approach.

ABSTRACT:

Background

The primary determinant of crop yield is photosynthetic capacity, which is under the control of photosynthesis-related genes. Therefore, the mining of genes involved in photosynthesis is important for the study of photosynthesis. MapMan Mercator 4 is a powerful annotation tool for assigning genes into proper functional categories; however, in maize, the functions of approximately 22.15% (9520) of genes remain unclear and are labeled "not assigned", which may include photosynthesis-related genes that have not yet been identified. The fast-increasing usage of the machine learning approach in solving biological problems provides us with a new chance to identify novel photosynthetic genes from functional "not assigned" genes in maize.

Results

In this study, we proved

SUBMITTER: Wang Y 

PROVIDER: S-EPMC9112524 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature