Inferring transcriptional gene regulation network of starch metabolism in Arabidopsis thaliana leaves using graphical Gaussian model

Background: Starch serves as a temporal storage of carbohydrates in plant leaves during day/night cycles. To study transcriptional regulatory modules of this dynamic metabolic process, we conducted gene regulation network analysis based on small-sample inference of graphical Gaussian model (GGM).Res...

全面介紹

Saved in:
書目詳細資料
Main Authors: Papapit Ingkasuwan, Supatcharee Netrphan, Sukon Prasitwattanaseree, Morakot Tanticharoen, Sakarindr Bhumiratana, Asawin Meechai, Jeerayut Chaijaruwanich, Hideki Takahashi, Supapon Cheevadhanarak
格式: 雜誌
出版: 2018
主題:
在線閱讀:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84864931487&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51365
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Chiang Mai University

相似書籍