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

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...

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Main Authors: Papapit Ingkasuwan, Supatcharee Netrphan, Sukon Prasitwattanaseree, Morakot Tanticharoen, Sakarindr Bhumiratana, Asawin Meechai, Jeerayut Chaijaruwanich, Hideki Takahashi, Supapon Cheevadhanarak
Format: Journal
Published: 2018
Subjects:
Biochemistry, Genetics and Molecular Biology
Computer Science
Mathematics
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84864931487&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51365
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Institution: Chiang Mai University

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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84864931487&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51365

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