Comprehensive-GWAS: a pipeline for genome-wide association studies utilizing cross-validation to assess the predictivity of genetic variations. - Gabrielle Dagasso; Yan Yan; Lipu Wang; Longhai Li; Randy Kutcher; Wentao Zhang; Lingling Jin (BIBM, 2020)

Leveraging machine learning to advance genome-wide association studies. - Gabrielle Dagasso; Yan Yan; Lipu Wang; Longhai Li; Randy Kutcher; Wentao Zhang; Lingling Jin (Int. J. Data Min. Bioinform., 2021)

Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset. - Keyhan Najafian; Lingling Jin; H. Randy Kutcher; Mackenzie Hladun; Samuel Horovatin; Maria Alejandra Oviedo-Ludena; Sheila Maria Pereira De Andrade; Lipu Wang; Ian Stavness (ICCV (Workshops), 2023)