Li, Mao, Frank, Margaret, Coneva, Viktoriya, Mio, Washington, Chitwood, Daniel H, and Topp, Christopher N. The persistent homology mathematical framework provides enhanced genotype-to-phenotype associations for plant morphology. Plant Physiology . Web. doi:10.1104/pp.18.00104.

Li, Mao, Frank, Margaret, Coneva, Viktoriya, Mio, Washington, Chitwood, Daniel H, & Topp, Christopher N. The persistent homology mathematical framework provides enhanced genotype-to-phenotype associations for plant morphology. Plant Physiology, (). https://doi.org/10.1104/pp.18.00104

Li, Mao, Frank, Margaret, Coneva, Viktoriya, Mio, Washington, Chitwood, Daniel H, and Topp, Christopher N. "The persistent homology mathematical framework provides enhanced genotype-to-phenotype associations for plant morphology". Plant Physiology (). United States: American Society of Plant Biologists (ASPB). https://doi.org/10.1104/pp.18.00104. https://par.nsf.gov/biblio/10059250.

@article{osti_10059250,
place = {United States}, title = {The persistent homology mathematical framework provides enhanced genotype-to-phenotype associations for plant morphology}, url = {https://par.nsf.gov/biblio/10059250}, DOI = {10.1104/pp.18.00104}, abstractNote = {Not Available}, journal = {Plant Physiology}, publisher = {American Society of Plant Biologists (ASPB)}, author = {Li, Mao and Frank, Margaret and Coneva, Viktoriya and Mio, Washington and Chitwood, Daniel H and Topp, Christopher N.}, }