Qi Song

Carnegie Mellon University, Pittsburgh, PA 
Computational Biology
"Qi Song"
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Ziv Bar-Joseph grad student 2020- Carnegie Mellon (MathTree)
Song Li grad student 2015-2019 Virginia Tech (Plant Biology Tree)
Kimberly Glass post-doc 2019-2020 Brigham & Women's Hospital (Physics Tree)


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Tian Wang collaborator 2019- Harvard
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Yan H, Lee J, Song Q, et al. (2022) Identification of new marker genes from plant single-cell RNA-seq data using interpretable machine learning methods. The New Phytologist
Song Q, Lee J, Akter S, et al. (2020) Prediction of condition-specific regulatory genes using machine learning. Nucleic Acids Research
Qin J, Shi A, Song Q, et al. (2019) Genome Wide Association Study and Genomic Selection of Amino Acid Concentrations in Soybean Seeds. Frontiers in Plant Science. 10: 1445
Song Q, Grene R, Heath LS, et al. (2017) Identification of regulatory modules in genome scale transcription regulatory networks. Bmc Systems Biology. 11: 140
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