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A review on machine learning principles for multi-view biological data integration.

, , and . Briefings Bioinform., 19 (2): 325-340 (2018)

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Modeling Gene Expression from Microarray Expression Data with State-Space Equations., , and . Pacific Symposium on Biocomputing, page 581-592. World Scientific, (2004)Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder., , and . ICCABS, volume 12029 of Lecture Notes in Computer Science, page 39-51. Springer, (2019)Finding Significantly Expressed genes from time-course expression profiles., , and . Int. J. Bioinform. Res. Appl., 5 (1): 50-63 (2009)Determination of the minimum number of microarray experiments for discovery of gene expression patterns., , and . BMC Bioinform., (2006)Ensemble disease gene prediction by clinical sample-based networks., , , , and . BMC Bioinform., 21-S (2): 79 (March 2020)Predicting essential proteins based on subcellular localization, orthology and PPI networks., , , , , and . BMC Bioinform., 17 (S-8): 279 (2016)Quality assessment of tandem mass spectra using support vector machine (SVM)., , , and . BMC Bioinform., (2009)IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning., , , and . BMC Bioinform., 20-S (23): 651 (2019)DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels., , , , and . BMC Bioinform., 20-S (15): 538 (December 2019)SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement., , , , , , , and . Genom. Proteom. Bioinform., 19 (2): 282-291 (2021)