Ribone, A. I., Fass, M. I., Gonzalez, S. A., Lia, V. V., Paniego, N. B., & Rivarola, M. L. (2023). Co-expression networks in sunflower: Harnessing the power of multi-study transcriptomic public data to identify and categorize candidate genes for fungal resistance. MDPI.
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Chicago Style (17th ed.) Citation
Ribone, Andrés Ignacio, Monica Irinia Fass, Sergio Alberto Gonzalez, Veronica Viviana Lia, Norma Beatriz Paniego, and Maximo Lisandro Rivarola. Co-expression Networks in Sunflower: Harnessing the Power of Multi-study Transcriptomic Public Data to Identify and Categorize Candidate Genes for Fungal Resistance. MDPI, 2023.
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MLA (9th ed.) Citation
Ribone, Andrés Ignacio, et al. Co-expression Networks in Sunflower: Harnessing the Power of Multi-study Transcriptomic Public Data to Identify and Categorize Candidate Genes for Fungal Resistance. MDPI, 2023.
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Warning: These citations may not always be 100% accurate.