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: | Ingkasuwan P., Netrphan S., Prasitwattanaseree S., Tanticharoen M., Bhumiratana S., Meechai A., Chaijaruwanich J., Takahashi H., Cheevadhanarak S. |
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Format: | Article |
Language: | English |
Published: |
2014
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Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-84864931487&partnerID=40&md5=e99fc747375a2e146d5103dbe9d7c7cf http://cmuir.cmu.ac.th/handle/6653943832/6978 |
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Institution: | Chiang Mai University |
Language: | English |
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