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Prediction of RNA-protein interactions with distributed feature representations and a hybrid deep model., , , and . ICIMCS, page 27:1-27:5. ACM, (2018)RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach., and . BMC Bioinform., 18 (1): 136:1-136:14 (2017)CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning., , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 291-301. Springer, (2019)Highly Efficient Method to Recover Silver from Discarded Plasma Display Panels., , , , and . ICDMA, page 471-476. IEEE Computer Society, (2012)MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering., , , , , , , and . Bioinform., (August 2023)Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection., , , and . Comput. Biol. Chem., (2014)RAIN: RNA-protein Association and Interaction Networks., , , , , , , , , and 1 other author(s). Database : the journal of biological databases and curation, (2017)GCRFLDA: scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field., , and . Briefings Bioinform., (2022)The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier., , , , and . Bioinform., 34 (13): 2185-2194 (2018)Identifying RNA-binding proteins using multi-label deep learning., , , and . Sci. China Inf. Sci., 62 (1): 19103:1-19103:3 (2019)