ProJect: a powerful mixed-model missing value imputation method

• المؤلفون الرئيسيون: Kong, Weijia, Wong, Bertrand Jern Han, Hui, Harvard Wai Hann, Lim, Kai-Peng, Wang, Yulan, Wong, Limsoon, Goh, Wilson Wen Bin
• مؤلفون آخرون: School of Biological Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Science::Biological sciences; Bioinformatics; Missing at Random
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171093
• المؤسسة: Nanyang Technological University

Missing values (MVs) can adversely impact data analysis and machine-learning model development. We propose a novel mixed-model method for missing value imputation (MVI). This method, ProJect (short for Protein inJection), is a powerful and meaningful improvement over existing MVI methods such as Bay...