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Predicting essential proteins based on subcellular localization, orthology and PPI networks., , , , , and . BMC Bioinform., 17 (S-8): 279 (2016)DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels., , , , and . BMC Bioinform., 20-S (15): 538 (December 2019)IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning., , , and . BMC Bioinform., 20-S (23): 651 (2019)Ensemble disease gene prediction by clinical sample-based networks., , , , and . BMC Bioinform., 21-S (2): 79 (March 2020)Quality assessment of tandem mass spectra using support vector machine (SVM)., , , and . BMC Bioinform., (2009)Determination of the minimum number of microarray experiments for discovery of gene expression patterns., , and . BMC Bioinform., (2006)SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement., , , , , , , and . Genom. Proteom. Bioinform., 19 (2): 282-291 (2021)Finding Significantly Expressed genes from time-course expression profiles., , and . Int. J. Bioinform. Res. Appl., 5 (1): 50-63 (2009)Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (3): 817-827 (2020)Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (1): 222-232 (2019)