Ribone, A. I., Fass, M. I., González, 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. Web
Citación estilo ChicagoRibone, Andrés Ignacio, Mónica Irina Fass, Sergio Alberto González, Verónica 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. 2023.
Cita MLARibone, 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. 2023.