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[1]Prediction of lncRNA–disease associations based on inductive matrix completion.Bioinformatics, 34 (19) : 3357-3364.
[2]Computational drug repositioning using low-rank matrix approximation and randomized algorithms.Bioinformatics, 34 (11) : 1904-1912.
[3]Drug repositioning based on bounded nuclear norm regularization.Bioinformatics, 35 (14) : i455-i463.
[4]Feature and Nuclear Norm Minimization for Matrix Completion.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
[5]Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI.Neural Computing and Applications
[6]Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification.Neurocomputing
[7]Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation.Neurocomputing
[8]Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease.Medical Image Analysis
[9]DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization.Bioinformatics, 34 (9) : 1597-1599.
[10]Control principles for complex biological networks.Briefings in bioinformatics, 20 (6) : 2253-2266.
[11]Network-based methods for predicting essential genes or proteins: a survey.Briefings in bioinformatics, 21 (2) : 566-583.
[12]Sprites: detection of deletions from sequencing data by re-aligning split reads.Bioinformatics, 32 (12) : 1788-1796.
[13]BOSS: a novel scaffolding algorithm based on an optimized scaffold graph.Bioinformatics, 33 (2) : 169-176.
[14]SCOP: a novel scaffolding algorithm based on contig classification and optimization.Bioinformatics, 35 (7) : 1142-1150.
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