the codes for paper "IIFDTI: predicting drug target interaction through interactive and independent features based on attention mechanism" - czjczj/IIFDTI
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Yet, as we show next, multiple state-of-the-art deep learning models, such as DeepPurpose5, ignore the features and rely largely on annotations, i.e., the degree information for each protein and ligand in the drug-target interaction (DTI) network, as a shortcut to make new binding ...
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Furthermore, multishell diffusion MRI (DTI) datasets were collected using a 2D diffusion-weighted spin-echo EPI sequence with the following parameters: TR = 5.1 s, TE = 38 ms, a number of segments = 88, FOV = 36 × 28 mm, matrix size = 72 ×...
aLeft: Optimal set of tracts to be modulated as calculated from the entire training cohort (N = 28 subjects), red intensity codes for R-values ranging from 0.2 to 0.6, with darker colors indicating higher R-values. Right: permutation analysis calculated on the entire training cohort (R...