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Optimizing Prediction Power of RNA-seq on Intrinsic Characteristics in Breast Cancer
(North Dakota State University, 2022)
Breast cancer is the most common cancer in women worldwide, and accurate and early detection of breast cancer is vital in characterizing the disease. Transcriptomic expression is embedded abundant tumor and cell state ...
A New Structural Feature for Lysine Post-Translation Modification Prediction Using Machine Learning
(North Dakota State University, 2021)
Lysine post-translational modification (PTM) plays a vital role in modulating multiple biological processes and functions. Lab-based lysine PTM identification is laborious and time-consuming, which impede large-scale ...
Genetic Dissection of Tan Spot Resistance in Wheat
(North Dakota State University, 2020)
Tan spot, caused by the necrotrophic fungal pathogen Pyrenophora tritici-repentis (Ptr), is a major foliar disease in wheat. QTL mapping and meta-QTL analysis are effective methods to understand genetic basis of tan spot ...