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Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection.

, , , и . Comput. Biol. Chem., (2014)

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Xiaoyong Zhang

Xiaoyong Tian

Xiaoyong Zhang

Xiaoyong Zhang

Xiaoyong Tang

 

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Highly Efficient Method to Recover Silver from Discarded Plasma Display Panels., , , , и . ICDMA, стр. 471-476. IEEE Computer Society, (2012)MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering., , , , , , , и . Bioinform., (августа 2023)Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection., , , и . Comput. Biol. Chem., (2014)GCRFLDA: scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field., , и . Briefings Bioinform., (2022)RAIN: RNA-protein Association and Interaction Networks., , , , , , , , , и 1 other автор(ы). Database : the journal of biological databases and curation, (2017)CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning., , , и . IDEAL (1), том 11871 из Lecture Notes in Computer Science, стр. 291-301. Springer, (2019)RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach., и . BMC Bioinform., 18 (1): 136:1-136:14 (2017)Prediction of RNA-protein interactions with distributed feature representations and a hybrid deep model., , , и . ICIMCS, стр. 27:1-27:5. ACM, (2018)Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study., , , , , , , и . IEEE Access, (2020)The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier., , , , и . Bioinform., 34 (13): 2185-2194 (2018)