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[1]Predicting thermodynamic stability of inorganic compounds using ensemble machine learning based on electron configuration.NATURE COMMUNICATIONS, 2025, 16 (1)
[2]scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data.NATURE COMMUNICATIONS, 2024, 15 (1)
[3]HiTE: a fast and accurate dynamic boundary adjustment approach for full-length transposable element detection and annotation.NATURE COMMUNICATIONS, 2024, 15 (1)
[4]De novo diploid genome assembly using long noisy reads.NATURE COMMUNICATIONS, 2024, 15 (1)
[5]DNA 5-methylcytosine detection and methylation phasing using PacBio circular consensus sequencing.NATURE COMMUNICATIONS, 2023, 14 (1)
[6]Genome-wide Detection of Cytosine Methylations in Plant from Nanopore Data Using Deep Learning.NATURE COMMUNICATIONS, 2021, 12 (1)
[7]Efficient assembly of nanopore reads via highly accurate and intact error correction.NATURE COMMUNICATIONS, 2021, 12 (1)
[8]MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.MEDICAL IMAGE ANALYSIS, 2022, 79
[9]A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping.IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 41 (6) : 1520-1532.
[10]Feature and Nuclear Norm Minimization for Matrix Completion.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 34 (5) : 2190-2199.
[11]TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data.NUCLEIC ACIDS RESEARCH, 2022, 50 (D1) : D710-D718.
[12]Prediction of lncRNA–disease associations based on inductive matrix completion.Bioinformatics, 34 (19) : 3357-3364.
[13]Computational drug repositioning using low-rank matrix approximation and randomized algorithms.Bioinformatics, 34 (11) : 1904-1912.
[14]Drug repositioning based on bounded nuclear norm regularization.Bioinformatics, 35 (14) : i455-i463.
[15]Feature and Nuclear Norm Minimization for Matrix Completion.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
[16]Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI.Neural Computing and Applications
[17]Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification.Neurocomputing
[18]Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation.Neurocomputing
[19]Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease.Medical Image Analysis
[20]DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization.Bioinformatics, 34 (9) : 1597-1599.
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