Regularized Deep Neural Networks for Combining Heterogeneous Features of Peptides in Data Independent Acquisition Mass Spectrometry
Namgil Lee, Hojin Yoo, Dohyun Han, Heejung Yang
This paper introduces a deep learning model for generating spectral libraries in DIA-MS by incorporating physicochemical features and sparsity regularization, outperforming existing models in retention time prediction and peptide identification.