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Improving Gene Regulatory Network Inference by Incorporating Rates of Transcriptional Changes
View ORCID ProfileJigar S. Desai, View ORCID ProfileRyan C. Sartor, Lovely Mae Lawas, SV Krishna Jagadish, View ORCID ProfileColleen J. Doherty
doi: https://doi.org/10.1101/093807
Jigar S. Desai
1Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, United States of America,
Ryan C. Sartor
2Department of Biological Sciences, University of California, San Diego, La Jolla, CA, United States of America,
Lovely Mae Lawas
3International Rice Research Institute DAPO Box 7777, Metro Manila, Philippines,
4Central Infrastructure Group Genomics and Transcript Profiling, Max Planck Institute of Molecular Plant Physiology Potsdam, Germany,
SV Krishna Jagadish
5Department of Agronomy, Kansas State University, Manhattan, KS, United States of America.
Colleen J. Doherty
1Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, United States of America,
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Posted July 13, 2017.
Improving Gene Regulatory Network Inference by Incorporating Rates of Transcriptional Changes
Jigar S. Desai, Ryan C. Sartor, Lovely Mae Lawas, SV Krishna Jagadish, Colleen J. Doherty
bioRxiv 093807; doi: https://doi.org/10.1101/093807
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