AUTHOR=Jiang Jing , Xing Fei , Wang Chunyu , Zeng Xiangxiang 

TITLE=Identification and Analysis of Rice Yield-Related Candidate Genes by Walking on the Functional Network

JOURNAL=Frontiers in Plant Science

VOLUME=9

YEAR=2018

URL=https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2018.01685

DOI=10.3389/fpls.2018.01685

ISSN=1664-462X

ABSTRACT=<p>Rice (<italic>Oryza sativa</italic> L.) is one of the most important staple foods in the world. It is possible to identify candidate genes associated with rice yield using the model of random walk with restart on a functional similarity network. We demonstrated the high performance of this approach by a five-fold cross-validation experiment, as well as the robustness of the parameter r. We also assessed the strength of associations between known seeds and candidate genes in the light of the results scores. The candidates ranking at the top of the results list were considered to be the most relevant rice yield-related genes. This study provides a valuable alternative for rice breeding and biology research. The relevant dataset and script can be downloaded at the website: <ext-link ext-link-type="uri" xlink:href="http://lab.malab.cn/jj/rice.htm" xmlns:xlink="http://www.w3.org/1999/xlink">http://lab.malab.cn/jj/rice.htm</ext-link>.</p>