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.
Citación estilo ChicagoRibone, Andrés Ignacio, Mónica Irina Fass, Sergio Alberto González, Verónica Viviana Lia, Norma Beatriz Paniego, y 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.